{"title":"Mathematics and Statistics (R0)","description":"\u003cp\u003eBücher aus der Reihe: Mathematics and Statistics (R0)\u003c\/p\u003e","products":[{"product_id":"tantrasangraha-of-nilakantha-somayaji-k-ramasubramanian-ebook","title":"Tantrasaṅgraha of Nīlakaṇṭha Somayājī","description":"\u003cp\u003e\u003cem\u003eThe\u003c\/em\u003e\u003cem\u003e Tantrasaṅgraha\u003c\/em\u003e, composed by the renowned Kerala astronomer Nīlakantha Somayājī (c. 1444–1545 AD), ranks along with the \u003cem\u003eĀryabhaṭīya\u003c\/em\u003e of Āryabhaṭa and the \u003cem\u003eSiddhāntaśiromaṇi\u003c\/em\u003e of Bhāskarācārya as one of the major works which significantly influenced further work on astronomy in India. One of the distinguishing features of this book is the introduction of a major revision of the traditional Indian planetary model. Nīlakaṇṭha arrived at a unified theory of planetary latitudes and a better formulation of the equation of centre for the interior planets (Mercury and Venus) than was previously available.\u003c\/p\u003e\n\u003cp\u003eIn preparing the translation and explanatory notes, the authors have used authentic Sanskrit editions of the \u003cem\u003eTantrasaṅgraha\u003c\/em\u003e by Surand Kunjan Pillai and K. V. Sarma. All verses have been translated into English, which have been supplemented with detailed explanations including all necessary mathematical relations, illustrative examples, figures and tables by using modern mathematical notation. The book includes a glossary of frequently occurring Sanskrit terms and several appendices that serve to clarify many concepts relevant to the topics discussed in the main text.\u003c\/p\u003e","brand":"K. 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Standard GEE Modeling of Correlated Univariate Outcomes.- 3. Partially Modified GEE Modeling of Correlated Univariate Outcomes.- 4. Fully Modified GEE Modeling of Correlated Univariate Outcomes.- 5. Extended Linear Mixed Modeling of Correlated Univariate Outcomes.- 6. Example Analyses of the Dental Measurement Data.- 7. Example Analyses of the Epilepsy Seizure Rate Data.- 8. Example Analyses of the Dichotomous Respiratory Status Data.- 9. Example Analyses of the Blood Lead Level Data.- Part II Polytomous Outcomes.- 10. Multinomial Regression.- 11. Ordinal Regression.- 12. Discrete Regression.- 13. Example Multinomial and Ordinal Regression Analyses.- 14. Example Discrete Regression Analyses.- Part III Adaptive Analysis Strategies.- 15. Alternative Analyses.- 16. Additional Example Analyses.\u003c\/p\u003e","brand":"George J. 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Taking into consideration on the high-dimensionality and nonlinearity properties in omics data, the book detangles nonlinearity of data through novel perspectives of matrix optimization. Through integration of machine learning frameworks, various novel techniques are proposed to deal with the complexity of omics data analysis. Intuitive examples and illustrations are provided to help readers for understanding the key idea and general procedures in omics data analysis. This book is intended for academic scholars and practitioners who are interested in learning, computational biology, optimization and related fields. The graduate students in the above field can also benefit from this book.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e","brand":"Hao Jiang","offers":[{"title":"Default Title","offer_id":53628136325447,"sku":"9789819531295","price":139.09,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/kernel-methods-for-omics-data-mining-ebook.webp?v=1775017183"},{"product_id":"geometric-aspects-of-general-topology-katsuro-sakai-ebook","title":"Geometric Aspects of General Topology","description":"\u003cp\u003ePreliminaries.- Metrizability, Paracompactness, and Related Properties.- Topology of Linear Spaces and Convex Sets.- Simplicial Complexes and Polyhedra.- Dimensions of Spaces.- Retracts and Extensors.- Cell-Like Maps and Related Topics.\u003c\/p\u003e","brand":"Katsuro Sakai","offers":[{"title":"Default Title","offer_id":53628155429191,"sku":"9789819685707","price":203.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/geometric-aspects-of-general-topology-ebook.webp?v=1775019013"},{"product_id":"generalized-functions-method-in-boundary-value-problems-for-wave-equations-lyudm-ebook","title":"Generalized Functions Method in Boundary Value Problems for Wave Equations","description":"\u003cp\u003eThis monograph presents the method of generalized functions and the method of boundary integral equations for solving nonstationary and stationary boundary value problems for classical hyperbolic equations of mathematical physics and electrodynamics: the wave equation, the Klein–Gordon equation, the Schrödinger equation and the system of Maxwell equations in spaces of dimension 1, 2, 3. It also discusses the theory of generalized functions for solving hyperbolic equations and systems described by pseudo-differential operators. The monograph studies the processes of shock waves, which is often simply impossible within the framework of the classical theory of differential equations. Generalized solutions of the considered boundary value problems, their regular integral representations and resolving singular boundary integral equations have been constructed, which belong to a new class of boundary integral equations, which can become the subject of a separate study in the field of functional analysis and function theory.\u003c\/p\u003e","brand":"Lyudmila Alexeyeva","offers":[{"title":"Default Title","offer_id":53628156051783,"sku":"9789819528028","price":160.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/generalized-functions-method-in-boundary-value-pro-ebook.webp?v=1775019123"},{"product_id":"classical-dynamics-nazibuddin-ahmed-ebook","title":"Classical Dynamics","description":"\u003cp class=\"MsoNormal\"\u003eForce, Work, Power, And Energy.- Central Forces and Central Orbits: Orbital Motion.- Law of Inverse Square and Two-Body Problem.- Motion of a Particle in Three Dimensions.- Motion of a System of Particles.- Introduction to Dynamics of Rigid Bodies.- Motion of a Rigid Body under Impulsive Forces.- Rigid Body Motion in Space with One Point Fixed.- Langrange’s Equation of Motion.- ​​​​​​​Theory of Hamilton.\u003c\/p\u003e","brand":"Nazibuddin Ahmed","offers":[{"title":"Default Title","offer_id":53628211888455,"sku":"9789819563944","price":80.24,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/classical-dynamics-ebook.webp?v=1775022577"},{"product_id":"trends-in-biomathematics-modeling-health-across-ecology-social-interactions-and-ebook","title":"Trends in Biomathematics: Modeling Health Across Ecology, Social Interactions, and Cells","description":"\u003cp\u003ePreface.- Periodicity in an Epidemiological Model of Measles Infection and Immunity.- Global Stability in an SIRS Model with Zoonotic Transmission, Nonlinear Incidence Rate and Temporal Immunity.- Applications of Pseudo-Boolean Polynomials in Medical Imaging.- Investigating the Spread of Chytridiomycosis in Native Amphibians by Invading Bd-carrier Bullfrogs.- Global Stability for FPDEs with Hattaf Time Fractional Derivative and some Applications in Mathematical Biology.- Stability of a Delayed Fractional Model for Viral Infection with Multiple Modes of Transmission and Humoral Immunity.- Mathematical Modeling of Cancer Inhibition through Localized.- Modeling and Optimal Control of Monkeypox Disease with Saturated Incidence Rates Radiation Therapy.- Dynamical Properties of a Seasonally Forced Phytoplankton-Zooplankton Model.- Dynamical Analysis of a Discretized System Modelling Somitogenesis.- Machine Learning and Artificial Intelligence for Cell Biology Imaging.- Exploring the Stability and Dynamics of Cancer Virotherapy: A Fractional Calculus Approach with GHF Derivative.- A Generalist Predator-Based Ecoepidemic Model for the Consequences of Selective Predation and Harvesting.- Examining Heterogeneity in Information Diffusion and its Impact on Disease Spread in a Multilayer Network.- Could COVID-19 Mask and Vaccine Mandates have made a Difference if they were Rolled Out Earlier?.- Extreme Events in Neuronal Networks.- Spatiotemporal Dynamics of a Mathematical HIV-1 Infection Model with Hattaf Time Fractional Derivative and Two Types of Infected Cells.- Modelling Three-Dimensional Structures of Proteins using Networks.- New Results on the Construction of a Statistical Mechanics of Probabilities of Occurrence.- A Computational Reaction-Diffusion Model for Bidomain Calcium Dynamics on Calcium Cells.- The Effect of Assortativity on Mpox Spreading with Two Core Groups.- Index.\u003c\/p\u003e","brand":"Rubem P. Mondaini","offers":[{"title":"Default Title","offer_id":53650953568583,"sku":"9783031974618","price":149.79,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/trends-in-biomathematics-modeling-health-across-ec-ebook-cover.webp?v=1775323591"},{"product_id":"time-series-analysis-and-forecasting-ebook","title":"Time Series Analysis and Forecasting","description":"\u003cp\u003e- Part I Advanced Econometric Methods.- Banking sector development and economic growth in developing countries. Does the change in the shadow economy matter? A Nonlinear Panel ARDL.- Improving the prediction of Norwegian household consumption by adjusting for temporary fluctuations in dividend income.- Inflation expectations change during the pre-war and war period. A comparison of Ukraine and neighboring economies.- Analysis of diversification in investment portfolios Return and Risk for different time horizons.- Economic Diversity and the Dutch Disease in Angola.- Part II Artificial Intelligence and Time Series.- Increasing the Performance and Plausibility of Machine Learning via Data Analysis Techniques.- Combining Forecasts of Time Series with Complex Seasonality using LSTM-based Meta-Learning.- Bayesian Robust Multivariate Time Series Analysis in Nonlinear Regression Models with Vector Autoregressive and t-distributed Errors.- Forecasting of the F10.7 solar radio index: A Multivariate Deep Learning Approach.- Part III Financial Forecasting and Risk Analysis.- Risk-adjusted Returns of Croatian Largest Manufacturers and Their Determinants.- Usage of portfolio replication in non-life insurance.- Encoding Stock Returns Relationships via Latent Embeddings for Enhanced Portfolio Optimization.- A Measure of Bivariate Long Memories in Financial Time Series with Applications to Granger Causality Networks.- Volatility-inspired σ-LSTM cell.- Part IV Theoretical Aspects of Time Series.- Bayesian Analysis of Systemic Risks Distributions.- Empirical function-based time series analysis for high-dimensional ground motion data: A focus on nonstationary and nonlinear phenomena.- Extended Research on Categorical Data Encoding Techniques for Recursive Multi-Step Prediction of Vessel Trajectory.- Part V Time Series Analysis Applications.- Predicting Safety- Critical Events in Traffic Flow Based on Time-Series.- Two-Factor and ARIMA-LS-SVR Models for Forecasting of EUA Futures Prices.- Interest Rate Sensitivity of the largest European Pharmaceutical Companies. An Extension of The Fama and French Five-Factor Model.\u003c\/p\u003e","brand":"Olga Valenzuela","offers":[{"title":"Default Title","offer_id":53651005538631,"sku":"9783031697500","price":203.29,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/time-series-analysis-and-forecasting-ebook-cover.webp?v=1775324724"},{"product_id":"theory-algorithms-and-experiments-in-applied-optimization-ebook","title":"Theory, Algorithms, and Experiments in Applied Optimization","description":"This book celebrates the remarkable contributions of Panos M. Pardalos, offering a comprehensive collection of 19 rigorously peer-reviewed articles that span the breadth of his research interests. From deterministic and stochastic global optimization to combinatorial optimization, this volume provides insights into solving modern applied problems in planning theory, support vector machines, data mining, supply chain optimization, and more.\n \nReaders will encounter a diverse array of topics, including Pareto optimality, game and equilibrium theory, vehicle routing problems, energy systems, and financial markets. Each article stands alone in its scientific, methodological, and practical individuality, making this collection a must-read for both junior university students and seasoned professionals. The contributing authors, many of whom are former students and now esteemed professors, offer unique perspectives and cutting-edge research findings.\n \nThis book is an invaluable resource for researchers, academics, and practitioners in fields such as operations research, resource management, computer science, and data analysis. Whether you are taking your first steps in optimization or are an advanced professional seeking to deepen your understanding, this volume provides the tools and insights necessary to navigate the complex landscape of applied optimization problems.","brand":"Boris Goldengorin","offers":[{"title":"Default Title","offer_id":53651009077575,"sku":"9783031913570","price":171.19,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/theory-algorithms-and-experiments-in-applied-optim-ebook-cover.webp?v=1775324995"},{"product_id":"the-new-horizons-of-oblique-axonometry-laura-inzerillo-ebook","title":"The New Horizons of Oblique Axonometry","description":"\u003cp\u003eOBLIQUE PARALLEL PROJECTION.- GEOMETRY OF THE DRAWING IN OBLIQUE AXONOMETRY.-OBLIQUE AXONOMETRY: COORDINATED PLANE PARALLEL TO PIE.- VOLUMES IN OBLIQUE AXONOMETRY.\u003c\/p\u003e","brand":"Laura Inzerillo","offers":[{"title":"Default Title","offer_id":53651104170311,"sku":"9783032074751","price":139.09,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/the-new-horizons-of-oblique-axonometry-ebook-cover.webp?v=1775326817"},{"product_id":"the-mathematical-enigma-of-guaman-pomas-yupana-cinzia-florio-ebook","title":"The Mathematical Enigma of Guamán Poma's Yupana","description":"\u003cp\u003eAgainst a century of inclusive studies, this book presents a new interpretation of the Inca calculating board known as the yupana, based on a different set of assumptions. Instead of seeing Inca numbers as positional, like the modern Hindu-Arabic numerals used by Western researchers, this new approach looks at them as additive, similar in organization to the numbers of ancient civilizations like Egypt. By analyzing Guamán Poma's work and considering the nature of the materials used by the Inca for recording and calculating with numbers, this new work finds a mathematical message, a multiplication algorithm, in the historical drawing. Finding a multiplication in the ancient drawing leads to considering the decipherment correct.  The text is written to be accessible to non-experts, as well as experts in fields other than mathematics. The work is addressed to researchers in the field, those interested in the history of mathematics, those attracted by mathematical enigmas, and especially the Andean peoples searching for lost knowledge of their past.\u003c\/p\u003e","brand":"Cinzia Florio","offers":[{"title":"Default Title","offer_id":53651130417479,"sku":"9783031926624","price":128.39,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/the-mathematical-enigma-of-guaman-pomas-yupana-ebook-cover.webp?v=1775327015"},{"product_id":"the-geometry-and-topology-of-coxeter-groups-michael-w-davis-ebook","title":"The Geometry and Topology of Coxeter Groups","description":"\u003cp\u003eThis book, now in a revised and extended second edition, offers an in-depth account of Coxeter groups through the perspective of geometric group theory. It examines the connections between Coxeter groups and major open problems in topology related to aspherical manifolds, such as the Euler Characteristic Conjecture and the Borel and Singer Conjectures. The book also discusses key topics in geometric group theory and topology, including Hopf’s theory of ends, contractible manifolds and homology spheres, the Poincaré Conjecture, and Gromov’s theory of CAT(0) spaces and groups. In addition, this second edition includes new chapters on Artin groups and their Betti numbers. Written by a leading expert, the book is an authoritative reference on the subject.\u003c\/p\u003e","brand":"Michael W. 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Playing dice with the Universe.- TL;DR.- Bibliography.\u003c\/p\u003e","brand":"Michael Yampolsky","offers":[{"title":"Default Title","offer_id":53651200442695,"sku":"9783032014238","price":21.39,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/the-end-ebook-cover.webp?v=1775328399"},{"product_id":"symbolic-mathematics-with-python-hugo-d-junghenn-ebook","title":"Symbolic Mathematics with Python","description":"\u003cp\u003eThis book provides a hands-on approach to computer symbolic computation using the elementary commands of Python. Symbolic computer mathematics is the study of algorithms that can be implemented as computer programs which provide exact results rather than numerical approximations. The author begins by discussing Python essentials an number theory. Then, the book covers the simplification and evaluation of expressions involving multivariate rational functions, the exact solutions of systems of linear equations, and applications of polynomial algebra. Programs in symbolic differentiation and indefinite integration programs are also developed.\u003c\/p\u003e","brand":"Hugo D. Junghenn","offers":[{"title":"Default Title","offer_id":53651263127879,"sku":"9783031905223","price":58.84,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/symbolic-mathematics-with-python-ebook-cover.webp?v=1775330464"},{"product_id":"supervised-and-unsupervised-statistical-data-analysis-ebook","title":"Supervised and Unsupervised Statistical Data Analysis","description":"\u003cp class=\"MsoNormal\"\u003eMeasuring discrimination in decision making algorithms an approach based on causal inference.- Leveraging Social Network Analysis for Semantic Differential Scale: An application to Survey Data.- Extending the Boosted Oriented Probabilistic Clustering to the Unit Hypersphere A Textual Data Perspect.- Understanding ESG Scores Through Network Analysis A Study Using Graph Neural Networks.- Innovative applications of Supervised Learning in addressing missing Data a case study on social surveys.- ISP Index A Parsimonious Method to Predict Defaults.\u003c\/p\u003e","brand":"Antonio D'Ambrosio","offers":[{"title":"Default Title","offer_id":53651291832647,"sku":"9783032030429","price":213.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/supervised-and-unsupervised-statistical-data-analy-ebook-cover.webp?v=1775331971"},{"product_id":"statistics-society-and-environment-ebook","title":"Statistics, Society and Environment","description":"\u003cp\u003ePreface.- Towards Inference for Finite Populations.- A Splitting Criterion for CARTs Based on Bayesian Optimisation.- A little bird told me: Roadmap towards frequent and representative official statistical information, through joint use of social network posts and survey data.- Dynamic Evaluation of Electoral Preferences in Mexico: A Bayesian Power\u003cbr\u003e\nRanking Model.- Modeling Oral Glucose Tolerance Test (OGTT) data and its Bayesian Inverse Problem.- A conditional approach to Bayesian inference in copula models.- A new bivariate model based on Gamma distributions.- Mortality estimation with controlled smoothing by segments applied to potentially insured missing persons in Mexico.- Development of Cyclical Indicators Based on Multivariate Spectral Analysis.- A Copula-based Fully Bayesian Nonparametric Evaluation of Cardiovascular Risk Markers for Normoglycemic Patients in the Mexico City Diabetes Study.- University infrastructure as a factor influencing entrepreneurial intention: a structural equation model.- An approach of latent class mixed models for analyzing new genotypes of Saccharum spp.- Kernel Feature Ordering by Conditional Independence in Species Diversity.- Antisocial behaviour in young Mexicans. 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It is the third of four volumes, featuring the second part of the contributions presented in the Contributed Sessions.\u003c\/p\u003e\n\u003cp\u003eProviding a comprehensive overview of innovations in modern statistical methods and applications, the volumes address a large number of topics of current interest, contributing to a rapid dissemination of quantitative methods for data analysis across the various fields of scientific research and social life. The volumes underpin the role of statistics and data science in fostering innovation in numerous fields, including business, industry, finance, technology, environment, health and medicine, official statistics, public policy, welfare, social issues and sustainable development.\u003c\/p\u003e\n\u003cp\u003eOne of the aims of the Italian Statistical Society (SIS) is to promote scientific activities for the development of statistical sciences. 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Together with the biennial international Scientific Meeting, the intermediate international statistical conferences on a particular topic of interest represent the Society’s most important events which bring together national and international researchers and professionals to exchange ideas and discuss recent advances and developments in theoretical and applied statistics.\u003c\/p\u003e","brand":"Enrico di Bella","offers":[{"title":"Default Title","offer_id":53651310215495,"sku":"9783031967368","price":223.63,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/statistics-for-innovation-i-ebook-cover.webp?v=1775332942"},{"product_id":"statistical-modelling-for-evidence-based-public-health-ebook","title":"Statistical Modelling for Evidence-Based Public Health","description":"\u003cp\u003eForeword.- Chapter 1 Advancing evidence-based decision-making in public health: The critical role of practical biostatistical methods for health monitoring in sub-Saharan Africa.- Part I Bivariate (or Joint) Modelling of Public Health Data.- Chapter 2 A trivariate copula model with endogenous predictor variable to estimate determinants of zero-dose and under-immunized children in Angola and Ethiopia using survey data.- Chapter 3 Determinants of female schooling and fertility in Malawi: An application of bivariate Poisson regression model.- Chapter 4 A copula approach to sample selection modeling of treatment adherence and viral load among HIV patients on antiretroviral therapy.- Chapter 5 Joint Modelling of Water, Sanitation, and Hygiene (WASH) Using a Generalized Joint Regression Model in Namibia.- Part II Hierarchical and Multilevel Modelling of Health Data.- Chapter 6 Hierarchical outlier linkages between cluster and subject levels in a multivariate logistic regression model for child mortality data from a complex survey in Malawi.- Chapter 7 Application of mixed effects models to predict viral suppression and CD4 cell counts in a cohort of ART patients in Namibia.- Chapter 8 Transition autoregressive mixed models applied to analysis of viral load and CD4 cell count data for ART patients in Nambia.- Chapter 9 Modeling viral load using mixed effects regression models and generalized estimating equations.- Part III Time-To- Event Modelling of HIV and AIDS, Child and Maternal Health Data.- Chapter 10 Semiparametric and parametric mixed-effects survival regression methods applied to the analysis of women’s birth interval data in Malawi.- Chapter 11 Competing risks of defaulting and transferring out in the ART cohort of HIV and TB co-infected individuals in Namibia.- Part IV Model Fitting, Causal Inference, and Machine Learning Techniques for Public Health Data.- Chapter 12 Properties of model errors in logistic regression and their application to detect outliers in child mortality study.- Chapter 13 Methods Using Propensity Scores to Estimate Causal Effects in Observational Longitudinal Studies.- Chapter 14 Robust, quantile, and mean regression diagnostics for a comprehensive analysis of outlier haemoglobin levels in women using cross-sectional survey data in Malawi.- Chapter 15 A Machine Learning Approach to Identifying Shared Determinants of the Childhood Stunting in Kenya, Tanzania, Zambia and Malawi.- Chapter 16 Modelling progression of HIV disease using homogenous semi-Markov processes with an application to a cohort in Namibia.- Chapter 17 Modeling viral load with response missingness and covariate measurement error.- Chapter 18 Application of multivariable binary logistic regression model, nomogram and classification tree to predict baseline acute respiratory distress in severe malaria African children.- Part V Advanced Spatial and Bayesian Statistical Methods for Public Health Data Modelling.- Chapter 19 Incorporating Heavy-Tailed Spatial Random Effects in the Analysis of Areal Disease Data.- Chapter 20 Mapping HIV epidemic in Namibia using Bayesian spatial modelling.- Chapter 21 Mixed-effects logistic regression grouped outlier residuals and GeoSpatial logistic model applied to analysis of outlier communities to late treatment-seeking behaviour for childhood malaria in Malawi.- Chapter 22 Mapping gender-specific spatial disparities in HIV testing and condom use in Namibia.- Index.\u003c\/p\u003e","brand":"Lawrence N. Kazembe","offers":[{"title":"Default Title","offer_id":53651314377031,"sku":"9783031972812","price":213.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/statistical-modelling-for-evidence-based-public-he-ebook-cover.webp?v=1775332984"},{"product_id":"statistical-learning-in-genetics-daniel-sorensen-ebook","title":"Statistical Learning in Genetics","description":"\u003cp\u003eThis book provides an introduction to computer-based methods for the analysis of genomic data. Breakthroughs in molecular and computational biology have contributed to the emergence of vast data sets, where millions of genetic markers for each individual are coupled with medical records, generating an unparalleled resource for linking human genetic variation to human biology and disease. Similar developments have taken place in animal and plant breeding, where genetic marker information is combined with production traits. An important task for the statistical geneticist is to adapt, construct and implement models that can extract information from these large-scale data. An initial step is to understand the methodology that underlies the probability models and to learn the modern computer-intensive methods required for fitting these models. The objective of this book, suitable for readers who wish to develop analytic skills to perform genomic research, is to provide guidance to take this first step.\u003c\/p\u003e\n\u003cp\u003eThis book is addressed to numerate biologists who may lack the formal mathematical background of the professional statistician. For this reason, considerably more detailed explanations and derivations are offered. Examples are used profusely and a large proportion involves programming with the open-source package R. The code needed to solve the exercises is provided and it can be downloaded, allowing students to experiment by running the programs on their own computer.\u003c\/p\u003e\n\u003cp\u003ePart I presents methods of inference and computation that are appropriate for likelihood and Bayesian models. Part II discusses prediction for continuous and binary data using both frequentist and Bayesian approaches. Some of the models used for prediction are also used for gene discovery. The challenge is to find promising genes without incurring a large proportion of false positive results. Therefore, Part II includes a detour on the False Discovery Rate, assuming frequentist and Bayesian perspectives. The last chapter of Part II provides an overview of a selected number of non-parametric methods. Part III consists of exercises and their solutions. This second edition has benefited from many clarifications and extensions of themes discussed in the first edition.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eDaniel Sorensen\u003c\/strong\u003e holds PhD and DSc degrees from the University of Edinburgh and is an elected Fellow of the American Statistical Association. 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Rotational integral geometry has now evolved into an independent mathematical discipline. It contains a wealth of theorems paralleling those in classical kinematic integral geometry for Euclidean spaces, such as the rotational Crofton formulae, rotational slice formulae, and principal rotational formulae. The present book presents these for very general tensor valuations in a convex geometric setting. It also discusses various applications in the biosciences, explained with a mathematical audience in mind. This book is intended for a diverse readership, including specialists in integral geometry, and researchers and graduate students working in integral, convex, and stochastic geometry, as well as geometric measure theory.\u003c\/p\u003e","brand":"Eva B. 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pseudoautomorphism.- Krull Rings, Semistar Operations, and Bases of Regularity.- Descriptions of radicals in polynomial ring extensions.- Boolean inverse semigroups and their type monoids.-Generalized derivations characterized by their action on Jordan products.- Open problems on relations of numerical semigroups.- Irreducible integer-valued polynomials with prescribed minimal power that factors non-uniquely.- The role of divisors in non-commutative ideal theory.- Essential-like properties for integer-valued polynomial rings: a survey with a note on valuation domains.- On the isomorphism problem for power semigroups.- Dimension-free matricial Nullstellensätze for noncommutative polynomials.\u003c\/p\u003e","brand":"Matej Bresar","offers":[{"title":"Default Title","offer_id":53651907248455,"sku":"9783031753268","price":255.73,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/recent-progress-in-ring-and-factorization-theory-ebook-cover.webp?v=1775339267"},{"product_id":"physics-and-mathematics-in-musical-composition-kinko-tsuji-ebook","title":"Physics and Mathematics in Musical Composition","description":"\u003cp\u003ePart 1.How is Music Born?.- Chapter 1.Introduction.- Chapter 2.Intervals, Scales, Tuning and Harmonics.- Chapter 3.Acoustic Basis and Generation of Sound.- Chapter 4.Complexity and Dynamics in Phase Space.- Part 2.Journey across the World.- Chapter 5.Physical and Mathematical Aspects in European Music.- Chapter 6.Music in Other Cultures.- Part 3.Moving beyond.- Chapter 7.Why Do we Know that it is Mozart?.- Chapter 8.Ending without End.\u003c\/p\u003e","brand":"Kinko Tsuji","offers":[{"title":"Default Title","offer_id":53652279853383,"sku":"9783031807329","price":58.84,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/physics-and-mathematics-in-musical-composition-ebook-cover.webp?v=1775347702"},{"product_id":"on-range-space-techniques-convex-cones-polyhedra-and-optimization-in-infinite-di-ebook","title":"On Range Space Techniques, Convex Cones, Polyhedra and Optimization in Infinite Dimensions","description":"\u003cp\u003e.- Introduction.\u003c\/p\u003e\n\u003cp\u003e.- Basic Facts of Set Theory.\u003c\/p\u003e\n\u003cp\u003e.- Linear Spaces.\u003c\/p\u003e\n\u003cp\u003e.- Rudiments of General Topology.\u003c\/p\u003e\n\u003cp\u003e.- Filters: the Fifth Equivalence.\u003c\/p\u003e\n\u003cp\u003e.- Hahn Banach andSeparation Theorems.\u003c\/p\u003e\n\u003cp\u003e.- Locally Convex and Barrelled Spaces.\u003c\/p\u003e\n\u003cp\u003e.- Metrics and pseudometrics, Norms and Pseudonorms.\u003c\/p\u003e\n\u003cp\u003e.- Topological Form of Hahn Banach and Separation Theorems.\u003c\/p\u003e\n\u003cp\u003e.- Extreme points, Faces, Support and the KreinMilman Theorem.\u003c\/p\u003e\n\u003cp\u003e.- Function Spaces.\u003c\/p\u003e","brand":"Paolo d'Alessandro","offers":[{"title":"Default Title","offer_id":53652297777479,"sku":"9783031924774","price":171.19,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/on-range-space-techniques-convex-cones-polyhedra-a-ebook-cover.webp?v=1775350019"},{"product_id":"numerical-methods-for-extreme-responses-of-dynamical-systems-mircea-d-grigoriu-ebook","title":"Numerical Methods for Extreme Responses of Dynamical Systems","description":"\u003cp\u003eThis book constructs input finite dimensional (FD) models that are amendable for numerical calculations and provides accurate representations for responses of dynamical systems to these inputs, i.e., numerical solutions of stochastic equations. It establishes conditions under which numerical solutions of these equations deliver accurate estimates of extreme responses of dynamical systems that are needed to, for example, predict extreme weather events and design reliable aircrafts. It is intended to serve a broad audience including graduate students, researchers, engineers, scientists and applied mathematicians interested in the formulation and solutions of complex stochastic problems.\u003c\/p\u003e","brand":"Mircea D. Grigoriu","offers":[{"title":"Default Title","offer_id":53652300529991,"sku":"9783031750236","price":181.89,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/numerical-methods-for-extreme-responses-of-dynamic-ebook-cover.webp?v=1775350430"},{"product_id":"nonlinear-investing-a-quantamental-approach-lingjie-ma-ebook","title":"Nonlinear Investing: A Quantamental Approach","description":"\u003cp\u003eChapter 1 Introduction.- Chapter 2 Quantamental Analysis.- Chapter 3 Nonlinear Factor Effects on Returns.- Chapter 4 Nonlinear Alpha Modeling.- Chapter 5 Tail Portfolios.- Chapter 6 Nonlinear Investing: Japan Stock Selection Strategy.- Chapter 7 Nonlinear Investing: Currency.- Chapter 9 Nonlinear Investing: Commodity.- Index.\u003c\/p\u003e","brand":"Lingjie Ma","offers":[{"title":"Default Title","offer_id":53652301578567,"sku":"9783031763052","price":160.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/nonlinear-investing-a-quantamental-approach-ebook-cover.webp?v=1775350703"},{"product_id":"nonlinear-functional-analysis-with-applications-to-combustion-theory-kazuaki-tai-ebook","title":"Nonlinear Functional Analysis with Applications to Combustion Theory","description":"\u003cp\u003ePreface.- Introduction and Main Results.- Part I. A Short Course in Nonlinear Functional Analysis.- Elements of Degree Theory.- Theory of Positive Mappings in Ordered Banach Spaces.- Elements of Bifurcation Theory.- Part II. Introduction to Semilinear Elliptic Problems via Semenov Approximation.- Elements of Functions Spaces.- Semilinear Hypoelliptic Robin Problems via Semenov Approximation.- Spectral Analysis of the Closed Realization A.- Local Bifurcation Theorem for Problem (6.4).- Fixed Point Theorems in Ordered Banach Spaces.- The Super-subsolution Method.- Sublinear Hypoelliptic Robin Problems.- Part III. A Combustion Problem with General Arrhenius Equations and Newtonian Cooling.- Proof of Theorem 1.5 (Existence and Uniqueness).- Proof of Theorem 1.7 (Multiplicity).- Proof of Theorem 1.9 (Unique solvability for λ sufficiently small).- Proof of Theorem 1.10 (Unique solvability for λ sufficiently large).- Proof of Theorem 1.11 (Asymptotics).- Part IV. Summary and Discussion.- Open Problems in Numerical Analysis.- Concluding Remarks.- Part V Appendix.- A The Maximum Principle for Second Order Elliptic Operators.- Bibliography.- Index.\u003c\/p\u003e","brand":"Kazuaki Taira","offers":[{"title":"Default Title","offer_id":53652301611335,"sku":"9783031857577","price":139.09,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/nonlinear-functional-analysis-with-applications-to-ebook-cover.webp?v=1775350716"},{"product_id":"new-trends-in-the-applications-of-differential-equations-in-sciences-ebook","title":"New Trends in the Applications of Differential Equations in Sciences","description":"\u003cp\u003e\u003cstrong\u003ePart1.Applications in Mathematical Physics.- \u003c\/strong\u003eGround states of Schrödinger-Poisson-Slater equations with linear non-local  terms\u003cstrong\u003e.- \u003c\/strong\u003eInterpolation of Sobolev spaces for Laplace operator with contact interaction\u003cstrong\u003e.-\u003c\/strong\u003eExact travelling wave solutions to several fully nonlinear PDE and radial solutions of boundary value problem to the Liouville equation in circular domains in the plane\u003cstrong\u003e.- \u003c\/strong\u003eRecent developments in the methodology of the Simple Equations Method (SEsM) for obtaining exact solutions of nonlinear differential equations\u003cstrong\u003e.- \u003c\/strong\u003eForward stability conditions and applications\u003cstrong\u003e.- \u003c\/strong\u003eExact solutions of the Troesch’s problem\u003cstrong\u003e.- \u003c\/strong\u003ePavlina Atanasova, Valentin Georgiev, On the special cases of the Jacobi elliptic function solutions of the (2+1)-dimensional Sine-Gordon equation\u003cstrong\u003e.- \u003c\/strong\u003eAn application of the method of simplest equation for exact real solutions of the model for spatial - time interaction of populations\u003cstrong\u003e.- \u003c\/strong\u003eA characterization of the K-functional for the algebraic version of the trigonometric Jackson integrals Gs,n in generalized weighted integral metric\u003cstrong\u003e.- \u003c\/strong\u003eMixed semicontinuous fully nonlinear evolution inclusions\u003cstrong\u003e.- \u003c\/strong\u003eNonlinear waves in the diffusion-advection-reaction model of interacting populations incorporating nonlocal effects and long range diffusion\u003cstrong\u003e.- \u003c\/strong\u003ePhysic informed neural networks for solving nonstandard initial-boundary value problem for second order hyperbolic equation\u003cstrong\u003e.- \u003c\/strong\u003eApproximate solution of the optimal control problem with the Hukuhara derivative equation with rapidly fluctuating coefficients on a finite interval\u003cstrong\u003e.- \u003c\/strong\u003eTravelling wave solutions of the Wu-Zhang system of PDE\u003cstrong\u003e.- \u003c\/strong\u003ePhysics informed neural networks for solving predator-prey models\u003cstrong\u003e.- Part2. Applications in Mechanics.- \u003c\/strong\u003eOn nonlinear waves in microtubules generated by means of a linear simple equation\u003cstrong\u003e.- \u003c\/strong\u003eOn a mathematical model describing pollution processes in a channel\u003cstrong\u003e.- \u003c\/strong\u003eOn nonlinear waves in microtubules generated by means of simple equation of Bernoulli kind\u003cstrong\u003e.- \u003c\/strong\u003eAnalysis of non-periodic buckling in an axisymmetric thin uniform shell\u003cstrong\u003e.- \u003c\/strong\u003eOn nonlinear waves in microtubules\u003cstrong\u003e.- \u003c\/strong\u003eAn education facility for design and mathematical modeling of 4 bar linkage mechanism\u003cstrong\u003e.- Part3. Applications in Numerical Methods and Computer Science.- \u003c\/strong\u003eAn improved interpolation error estimate from a new Taylor-like formula: Application to finite element method\u003cstrong\u003e.- \u003c\/strong\u003eMixed finite element method applied to sixth-order eigenvalue problem\u003cstrong\u003e.- \u003c\/strong\u003eAdvanced unbiased Monte Carlo for multidimensional Fredholm integral equations\u003cstrong\u003e.- \u003c\/strong\u003eNovel stochastic sequences for multidimensional air pollution modelling\u003cstrong\u003e.- \u003c\/strong\u003eAdvanced stochastic method for linear algebraic systems\u003cstrong\u003e.- \u003c\/strong\u003eStochastic approaches for the mutidimensional Volterra integral equation\u003cstrong\u003e.- \u003c\/strong\u003eNumerical analysis of a difference scheme family for solving semilinear hyperbolic PDEs\u003cstrong\u003e.- \u003c\/strong\u003eNumerical solution of switched systems with delay\u003cstrong\u003e.- Part4. Applications in Financial Mathematics.- \u003c\/strong\u003eMulticriteria optimization approach for investment project financing evaluation and decision making\u003cstrong\u003e.- \u003c\/strong\u003eApplication of weighted t-tests for loss-given-default forecasts validation\u003cstrong\u003e.- \u003c\/strong\u003eA comparison of deep neural network and convolutional neural network for credit card fraud detection\u003cstrong\u003e.- \u003c\/strong\u003eStudying the dependency between household income and consumption of basic food commodities in Bulgaria\u003cstrong\u003e.- \u003c\/strong\u003eAccurate lattice-based models for pricing European options\u003cstrong\u003e.- \u003c\/strong\u003eAdvanced Monte Carlo optimizations for multidimensional European style options\u003cstrong\u003e.- Part5. Applications in Mathematical Biology.- \u003c\/strong\u003eComparison of exact solutions of model equations connected to the SIS and SIR model of epidemics spread\u003cstrong\u003e.- \u003c\/strong\u003eComparison of exact solutions of model equations connected to the SIR and SEIR model of epidemic spread\u003cstrong\u003e.- Part6. Applications in Fractional Analysis.- \u003c\/strong\u003eUlam type stability of Volterra fractional integral equations of variable-order\u003cstrong\u003e.- \u003c\/strong\u003eExact solitary wave solutions of the time-fractional fifth-order KdV-type equation via extended Simple Equations Method(SEsM)\u003cstrong\u003e.- \u003c\/strong\u003eExistence for a nonlinear boundary value problem for Riemann-Liouville fractional differential equations of variable order\u003cstrong\u003e.\u003c\/strong\u003e\u003c\/p\u003e","brand":"Angela Slavova","offers":[{"title":"Default Title","offer_id":53652304855367,"sku":"9783031833984","price":319.93,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/new-trends-in-the-applications-of-differential-equ-ebook-cover.webp?v=1775351110"},{"product_id":"new-trends-in-functional-statistics-and-related-fields-ebook","title":"New Trends in Functional Statistics and Related Fields","description":"\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\"\u003e1 Germán Aneiros, Enea G. Bongiorno, Aldo Goia and Marie Hušková, An Introduction to the 6th Edition of the International Workshop on Functional and Operatorial Statistics.- 2 Nihan Acar-Denizli and Pedro Delicado, Local Constant Likelihood Estimation for Beta Distribution with Time Varying Parameters.- 3 Mohamed Alahiane, Mustapha Rachdi, Idir Ouassou and Philippe Vieu, An Expansion of the Functional Projection Pursuit Regression to Generalized Partially Linear Single Index Models.- 4 Alexander Aue, Sebastian Kühnert and Gregory Rice, On the Estimation of Invertible Functional Time Series.- 5 Patrick Bastian, Rupsa Basu and Holger Dette, Uniform Confidence Bands for Joint Angles Across Different Fatigue Phases.- 6 Sayan Bhadra and Anuj Srivastava, Scalar on Shape Regression Using Function Data.- 7 Filip Bočinec, Erik Mendroš and Stanislav Nagy, A Comparison of Band-based Approaches to Functional Depth.- 8 Enea G. Bongiorno, Lax Chan and Aldo Goia, Analysing the Complexity Mixture Structure of Daily Probability Densities of Bitcoin Returns.- 9 Teresa Bortolotti, Roberta Troilo, Alessandra Menafoglio and Simone Vantini, Regularized Nonparametric Estimation of Covariance Kernels for High-Dimensional Interferometric Data.- 10 Alain Boudou and Sylvie Viguier-Pla, Statistical Properties of a Random Series Transmitted by Filtering.- 11 Robert Cantwell and John Aston for the Alzheimer’s Disease Neuroimaging Initiative, Multi-Object Regression: A Linear Framework via Partial Least Squares.- \u003c\/span\u003e\u003cspan style=\"mso-ansi-language: IT;\"\u003e12 Christian Capezza, Davide Forcina, Antonio Lepore, Biagio Palumbo, Monitoring the Covariance of Multichannel Profiles.- \u003c\/span\u003e\u003cspan lang=\"EN-US\"\u003e13 Hervé Cardot and Caroline Peltier, Statistical Modeling of Categorical Trajectories with Multivariate Functional Data Approaches.- 14 Roberto Casarin, Radu Craiu and Qing Wang, Markov Switching Tensor Regressions.- 15 Michele Cavazzutti, Eleonora Arnone, Ying Sun, Marc G. Genton and Laura M. Sangalli, Functional Data Depth for the Analysis of Earth Surface Temperatures.- 16 Lax Chan, Laurent Delsol and Aldo Goia, Improving Finite Samples Performances in Nonparametric Functional Regression by Using Weighted Pseudo-Metrics.- 17 Aldo Clemente, Alessandro Palummo, Eleonora Arnone and Laura M. Sangalli, Smoothing with Nonlinear Partial Differential Equation Regularization.- 18 Adéla Czolková, Karel Hron and Sonja Greven, Functional Principal Component Analysis for Bivariate Densities and their Orthogonal Decomposition.- \u003c\/span\u003e\u003cspan style=\"mso-ansi-language: IT;\"\u003e19 Marco F. De Sanctis, Ilenia Di Battista, Eleonora Arnone, Cristian Castiglione, Mauro Bernardi, Francesca Ieva and Laura M. Sangalli, Estimating Multiple Quantile Surfaces: A Penalized Functional Approach.- \u003c\/span\u003e\u003cspan lang=\"EN-US\"\u003e20 Simone Di Gregorio and Francesco Iafrate, Neural Drift Estimation for Ergodic Diffusions: Nonparametric Analysis and Numerical Exploration.- \u003c\/span\u003e\u003cspan style=\"mso-ansi-language: IT;\"\u003e21 Jacopo Di Iorio, Marzia A. Cremona and Francesca Chiaromonte, Amplitude-Invariant Functional Motif Discovery.- \u003c\/span\u003e\u003cspan lang=\"EN-US\"\u003e22 Daniel Diz-Castro, Manuel Febrero-Bande and Wenceslao González-Manteiga, Testing the Significance of Covariates in Nonparametric Regression without the Curse of Dimensionality.- 23 Patric Dolmeta and Matteo Giordano, Gaussian Process Methods for Covariate-Based Intensity Estimation.- 24 Mélanie Dreina, Sylvie Viguier-Pla and Stéphane Abide, Spectral Analysis of Multidimensional Thermal Fields.- 25 Matteo Farnè and Xuanye Dai, Forecasting Dynamic Factor Scores by UNALSE Spectral Density Matrix Estimator.- 26 Manuel Febrero-Bande, Pedro Galeano and Wenceslao González-Manteiga, Testing for Linearity and Independence in Scalar-on-Function Regression with Responses Missing at Random by Generalized Distance Covariance.- 27 Antonino Gagliano, Chiara Di Maria, Gianluca Sottile, Sarah Beutler-Traktovenko, Luigi Augugliaro and Valeria Vitelli, A Novel Spectral Density Operator Approach to Unveil Dynamic Time Dependencies in Multivariate Long-Term ECGs.- 28 Nouhaila Goujili, Matthieu Saumard and Maher Jridi, Comparison of Deep Learning Methods for Functional Data.- 29 Nicolás Hernández and Stanislav Nagy, The Common Support Function with Applications.- 30 Karel Hron, Multivariate Densities in Bayes Spaces: The Novel Concept of Marginals and Its Implications.- 31 Šárka Hudecová, Daniel Hlubinka and Zdeněk Hlávka, Functional \u003c\/span\u003e\u003cspan lang=\"EN-US\" style=\"font-family: 'Cambria Math',serif; mso-bidi-font-family: 'Cambria Math';\"\u003e𝐾\u003c\/span\u003e\u003cspan lang=\"EN-US\"\u003e Sample Problem via Multivariate Optimal Measure Transport-Based Permutation Test.- 32 Marie Hušková and Charl Pretorius, Sequential Monitoring for Detection of Breaks in Panel Data.- 33 Ioannis Kalogridis and Stefan Van Aelst, Robust Penalized Splines for Location Estimation from Discretely Sampled Functional Data.- 34 Yuwei Jiang and Natalya Pya Arnqvist, Functional Regression with Shape Constraints.- 35 Francesca Ieva, Nicole Fontana, Carlo Andrea Pivato, Emanuele Di Angelantonio and Piercesare Secchi, Enhancing Causal Inference in Functional Data: a Method for Estimating Time-Varying Causal Treatment Effects.- \u003c\/span\u003e\u003cspan style=\"mso-ansi-language: IT;\"\u003e36 Luigi Ippoliti, Tonio Di Battista, Luigi Di Carlo, Stefania Fensore, Eugenia Nissi, Pasquale Valentini, Carlo Zaccardi, Linear and Nonlinear Regression Models for Spatial Downscaling of Particulate Matter.- 37 Alessandro Lanteri, Raffaele Argiento, Silvia Montagna, A Bayesian Non-Parametric Model to Learn Functions with Discontinuties.- 38 Salvatore Latora, Luigi Augugliaro and Gerda Claeskens, A Novel Approach To Estimate Functional Gaussian Graphical Model Based On Penalized Multivariate Functional Regression Model.- \u003c\/span\u003e\u003cspan lang=\"EN-US\"\u003e39 Niels Lundtorp Olsen, Alessia Pini and Simone Vantini, Local Null Hypothesis Significance Testing on Riemaniann Manifolds.- 40 Hassan Maatouk, Didier Rullière and Xavier Bay, Efficient Bayesian Linear Models for a Large Number of Observations- 41 Jitka Machalová and Jana Heckenbergerová, Innovative Approach to Wind Direction Data Analyses: A Compositional Periodic Spline Representation in Bayes Spaces.- 42 Eva-Maria Maier, Alexander Fottner, Almond Stöcker and Sonja Greven, Bayes Hilbert Space Additive Density-on-Scalar Regression Based on Individual Observations.- 43 Terence Kevin Manfoumbi Djonguet and Guy Martial Nkiet, A Kernel-Based Approach for Testing Mutual Independence of Several Functional Variables.- 44 Alejandra Mercedes Martínez, Addressing Robustness and Sparsity in Partially Linear Additive Models.- 45 Valentina Masarotto and Yiya Chen, Covariance Operators for Phonetics: Revisiting Tonal Coarticulation.- 46 Caterina May, Theodoros Ladas, Davide Pigoli and Kalliopi Mylona, A-optimal Designs of Experiments in Linear Models with Dynamic Factors and Functional Responses.- 47 Alessandra Menafoglio, Moving Object-Oriented Spatial Statistics Beyond Stationary and Euclidean Paradigms.- 48 Erik Mendroš and Stanislav Nagy, The Spherical Depth for Functional Data.- 49 Tomáš Mrkvička, False Discovery Rate Envelope and its Performance for Local Testing in Functional Data Analysis.- \u003c\/span\u003e\u003cspan style=\"mso-ansi-language: IT;\"\u003e50 Stanislav Nagy, Interpretable Functional Boxplots.- \u003c\/span\u003e\u003cspan lang=\"EN-US\"\u003e51 Silvia Novo, Alessandro Palummo and Laura M. Sangalli, Scalar-on-Function Regression with Partially Observed Covariate.- \u003c\/span\u003e\u003cspan style=\"mso-ansi-language: IT;\"\u003e52 Alessandro Palummo, Eleonora Arnone, Letizia Clementi and Laura M. Sangalli, Efficient Physics-Informed Smoothing of Space-time Functional Data.- 53 Giulia Patanè, Federica Nicolussi, Alexander Krauth, Günter Gauglitz, Bianca Maria Colosimo, Luca Dede’ and Alessandra Menafoglio, Ordinal-on-Function Dimensionality Reduction.- \u003c\/span\u003e\u003cspan lang=\"EN-US\"\u003e54 Nicola Pronello, Rosaria Ignaccolo and Luigi Ippoliti, Varying Coefficient Regression Models on Fluvial Networks.- 55 Hedvika Ranošová and Daniel Hlubinka, \u003cspan style=\"mso-spacerun: yes;\"\u003e \u003c\/span\u003eNon-Parametric Testing of Time Reversibility in Functional Data.- 56 María D. Ruiz–Medina and Rosa M. Crujeiras, An LRD Spectral Test for Irregularly Discretely Observed Functional Time Series in Manifolds.- 57 Diego Serrano and Eduardo García-Portugués, Prediction Regions for Functional-Valued Random Forests.- 58 Mohammad Reza Seydi, Johan Strandberg, Todd C. Pataky, and Lina Schelin, Sample Size Estimation for Two-Sample Functional Hypothesis Test.- 59 Han Lin Shang, Forecasting Age Distribution of Deaths at Subnational Level.- 60 Stanislav Škorňa and Jitka Machalová, Statistical Analysis of Bivariate Densities with Compositional Splines.- 61 Veronika Šmajserová and Jitka Machalová, Prediction with Mixed Effects Smooth Models by using P-Splines.- 62 Marco Stefanucci, Mauro Bernardi and Antonio Canale, Locally Sparse Estimation for Functional Linear Models with Scalar Response.- 63 Shahin Tavakoli, Gilles Nisol, and Marc Hallin, Factor Models for High-Dimensional Functional Time Series.- 64 Romain Valla, Pavlo Mozharovskyi, and Florence d’Alché-Buc, Anomaly-Driven Visualization of Functional Data.- 65 Simone Vantini, Leveraging Data Exchangeability for a More Reliable and Interpretable Functional Data Analysis.- 66 Marc Vidal, A Family of Moment Operators for Functional Data and Its Discriminative Properties.\u003c\/span\u003e\u003c\/p\u003e","brand":"Germán Aneiros","offers":[{"title":"Default Title","offer_id":53652304920903,"sku":"9783031923838","price":181.89,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/new-trends-in-functional-statistics-and-related-fi-ebook-cover.webp?v=1775351130"},{"product_id":"new-directions-in-relevant-logic-ebook","title":"New Directions in Relevant Logic","description":"\u003cp\u003eIntroduction.- Part I: Philosophical Foundations.- Chapter 1. A Hierarchy of Relevance Properties.- Chapter 2. A Topic-Theoretic Perspective on Variable-Sharing (from the Black Sheep of the Family).- Chapter 3. Withered Relevance.- Chapter 4. Variable-Sharing as Relevance.- Part II: Model Theory.- Chapter 5. Algorithmic Corre spondence for Relevance Logics II, Inductive Formulae in Flat Languages for Relevance Logics.- Chapter 6. Quantified Modal Rele vant Logics II, Welcome to the Neighbourhood.- Chapter 7. Semantics for Second Order Relevant Logics.- Chapter 8. Implying and Containing in Truthmaker Semantics.- Chapter 9. The Only 3-valued Logic which is a Natural Implication Expansion with the Variable Sharing Property of Kleene’s Strong Logic.- Part III: Proof Theory.- Chapter 10. A Conceptual Approach to Restricted Quan tification in Relevant Logics.- Chapter 11. Fusion, Fission, and Ackermann’s Truth Constant in Relevant Logics, A Proof-Theoretic Investigation.- Chapter 12. Entailment Generalized.- Chapter 13. Proofs with Star and Perp.- Chapter 14. Morphing Rules of Evaluation into Rules of Deduction: Preserving Relevance and Epistemic Gain.- Part IV: Applications.- Chapter 15. Frege meets Belnap: Basic Law V in a Relevant Logic.- Chapter 16. Explicit and Implicit Belief in First Degree Entailment With Strict Implication.- Chapter 17. Relevant Rational Arithmetic.\u003c\/p\u003e","brand":"Igor Sedlár","offers":[{"title":"Default Title","offer_id":53652307345735,"sku":"9783031699405","price":160.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/new-directions-in-relevant-logic-ebook-cover.webp?v=1775351417"},{"product_id":"new-developments-in-discrete-dynamical-systems-difference-equations-and-applicat-ebook","title":"New Developments in Discrete Dynamical Systems, Difference Equations, and Applications","description":"\u003cp\u003eD. J.W. Simpson.- How to compute multi-dimensional stable and unstable manifolds of piecewise-linear maps.- M. Saburov, K. Saburov and K. Saburov, Krause Mean Processes Generated by Doubly Stochastic Hyper-Matrices with Positive Influences.- E. Kwessi, Hierarchical Model with Allee Effect, Immigration, and Holling Type II Functional Response.- Y. Naoto, Asymptotic behavior of solutions of two-region dynamic Dixit-Stiglitz-Krugman model with discrete-time variable.- G. Filipuk, On the regularisation of the differential system related to the deformed Laguerre  polynomials.- P. Zu'rob and Abdelrahim S. Mousa, Hysterical dynamics of player's behavior in a welfare coalition game.- L. Efremova, Skew Products and Geometrically Integrable Maps: Results, Problems and Prospects.- D. Andrica and O. Bagdasar, On Kasner triangles defined by a sequence of parameters.- L. Gardini, D. Radi, N. Schmitt,  I. Sushko, and  F. 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Management.- Diffie-Hellman Key Exchange Protocol Based On Ring LWE with n Entities.- Spatial Global Numerical Computation of the Integral Equations for the Ruin Probability.- The Orientation of a Rotated Ellipsoid Based on Its Polarization Tensor.- University Teaching Assessment Using Fuzzy Delphi Method with Z-Number Approach.- Squeeze Flow of Ternary Casson Nanofluid with Magnetohydrodynamic, Viscous Dissipation and Thermal Radiation Effect.- Numerical Simulation of Aqueous Humour Flow during Descemet Membrane Detachment under External Heat Sources.- Indoor Transmission of COVID-19 using Advection Diffusion Equation.- Forecasting Electricity Demand from Battery Electric Vehicles Using Box-Jenkins Modeling.- Mathematical model and algorithm for grammatical editing of given words in Uzbek language.\u003cbr\u003e- Creation of a Multi-Functional Device for Real-Time Monitoring of Water Quality.- Valuation of Basket Options Accommodating Assets’ Correlation.- Monitoring The Quality of 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A New Approach.- On k-order Jacobsthal Polynomials and Their Properties.- On Euclidean Norms Of Max On Euclidean Norms Of Max Matrices With Chebyshev Polynomials.- Bridging academic learning and community service.- Escape Rooms and Students Competencies.- Descriptive and Inferential Analysis of Renal Health and Patterns of Water Consumption: A case study of Ciudad Hidalgo.- Modeling Solar Energy Through Mathematics.- Problem-Based Learning, Teamwork and Entrepreneurship in the Numerical Methods Course.- Advanced Teaching Strategies for Enhancing STEM Education in Higher Institutions.- Numerical Methods: Artifacts in teaching in a mathematics degree.\u003c\/p\u003e","brand":"Deolinda M. 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ABM is highlighted as a powerful tool for studying economics, especially in the context of financial crises and pandemics, where traditional models, such as dynamic stochastic general equilibrium (DSGE) models, have proven inadequate.\u003c\/p\u003e\n\u003cp\u003eContaining numerous practical examples and applications with R, Python, Julia and Netlogo, the book explores how learning, particularly machine learning, can be integrated into multi-agent systems to enhance the adaptation and behavior of agents in dynamic environments. It compares different learning approaches, including game theory and artificial intelligence, highlighting the advantages of each in modeling economic phenomena.\u003c\/p\u003e","brand":"Pedro Campos","offers":[{"title":"Default Title","offer_id":53652367671623,"sku":"9783031733543","price":139.09,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/machine-learning-perspectives-of-agent-based-model-ebook-cover.webp?v=1775357670"},{"product_id":"machine-learning-for-drone-enabled-iot-networks-ebook","title":"Machine Learning for Drone-Enabled IoT Networks","description":"\u003cp\u003eMachine learning algorithms for drone-enabled IoT networks.- Sensing and data collection with drones for IoT applications.- Data analysis and processing for IoT networks assisted by drones.- Energy-efficient and scalable solutions for drone-assisted IoT networks.- Security and privacy issues in drone-enabled IoT networks.- Emerging trends and future directions in ML for drone-assisted IoT networks.\u003c\/p\u003e","brand":"Jahan Hassan","offers":[{"title":"Default Title","offer_id":53652367868231,"sku":"9783031809613","price":192.59,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/machine-learning-for-drone-enabled-iot-networks-ebook-cover.webp?v=1775357724"},{"product_id":"lectures-on-real-valued-functions-alexander-kharazishvili-ebook","title":"Lectures on Real-valued Functions","description":"\u003cp\u003eChapter 1. Unary and Binary Relations.- Chapter 2. Partial Functions and Functions.- Chapter 3. Elementary Facts on Cardinal Numbers.- Chapter 4. Some Properties of the Continuum.- Chapter 5. The Oscillation of a Real-valued Function at a Point.- Chapter 6. Points of Continuity and Discontinuity of Real-valued Functions.- Chapter 7. Real-valued Monotone Functions.- Chapter 8. Real-valued Convex Functions.- Chapter 9. Semicontinuity of a Real-valued Function at a Point.- Chapter 10. Semicontinuous Real-valued Functions on Quasi-compact Spaces.- Chapter 11. The Banach–Steinhaus Theorem.- Chapter 12. A Characterization of Oscillation Functions.- Chapter 13. Semicontinuity versus Continuity.- Chapter 14. The Outer Measures.- Chapter 15. Finitely Additive and Countably Additive Measures.- Chapter 16. Extensions of Measures.- Chapter 17. Caratheodory’s and Marczewski’s Extension Theorems.- Chapter 18. Positive Linear Functionals.- Chapter 19. The Nonexistence of Universal Countably Additive Measures.- Chapter 20. Radon Measures.- Chapter 21. Invariant and Quasi-invariant Measures.- Chapter 22. Pointwise Limits of Finite Sums of Periodic Functions.- Chapter 23. Absolutely Nonmeasurable Setsin Commutative Groups.- Chapter 24. Radon Spaces.- Chapter 25. Nonmeasurable Sets with respect to Radon Measures.- Chapter 26. The Radon–Nikodym Theorem.- Chapter 27. Decompositions of Linear Functionals.- Chapter 28. Linear Continuous Functionals and Radon Measures.- Chapter 29. Linear Continuous Functionalson a Real Hilbert Space.- Chapter 30. Baire Property in Topological Spaces.- Chapter 31. The Stone–Weierstrass Theorem.- Chapter 32. More on the Function Space C(X).- Chapter 33. Uniformization of Plane Sets by Relatively Measurable Functions.\u003c\/p\u003e","brand":"Alexander Kharazishvili","offers":[{"title":"Default Title","offer_id":53652375372103,"sku":"9783031953699","price":74.89,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/lectures-on-real-valued-functions-ebook-cover.webp?v=1775358763"},{"product_id":"kinetically-constrained-models-ivailo-hartarsky-ebook","title":"Kinetically Constrained Models","description":"Preface.- The models.- Setting and notation.- The Markov processes: kinetically constrained spin models and kinetically constrained lattice gases.- The most studied choices of constraints.- Some useful classification: oriented\/non–oriented models, cooperative\/non–cooperative models.- Motivations from physics.- A crash course on liquid\/glass and jamming transitions.- The quest of the ideal glass transition: models on Bethe lattices and the spiral model.- Kinetically Constrained Spin Models: the basic results.- Ergodicity and connection with bootstrap percolation.- Exponential convergence to equilibrium in L2.- The failure of classic coercive inequalities (logarithmic and modified logarithmic Sobolev constant).- Persistence and exchange times.- Scaling with density of the spectral gap: the case of Friedrickson-Andersen 1f model.- Some open problems.- Kinetically Constrained Spin Models on trees.- A martingale technique to prove positivity of the spectral gap.- Power law scaling at criticality.- An open problem.- The out of equilibrium regime.- An easy perturbative result in one dimension.- Oriented models: East and models on trees.- Non cooperative models.- Some open problems.- Dynamical phase transition.- Activity and its large deviations.- The one dimensional case: finite size effects and surface tension.- Open problems.- The East model.- Combinatorics.- Spectral gap and mixing time.- Time scale separation.- Front motion and cut-off.- Plateau behavior, aging and scaling limits.- The generalized East process in higher dimensions.- An open problem: Aldous Diaconis conjecture.- Kinetically Constrained Lattice Gases.- Ergodicity.- Non cooperative models: spectral gap, log-Sobolev, tagged particle and hydrodynamic limit.- Cooperative models: spectral gap and polynomial decay to equilibrium.","brand":"Ivailo Hartarsky","offers":[{"title":"Default Title","offer_id":53652379959623,"sku":"9783031931154","price":53.49,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/kinetically-constrained-models-ebook-cover.webp?v=1775359861"}],"url":"https:\/\/www.cinebuch.de\/collections\/mathematics-and-statistics-r0.oembed?page=4","provider":"CineBuch","version":"1.0","type":"link"}