{"title":"Thomas Nagler","description":"\u003cp\u003e\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Thomas Nagler \u0026lt;\/strong\u0026gt;is a Professor of Computational Statistics \u0026amp;amp; Data Science at the Department of Statistics, LMU Munich, Germany, and a principal investigator at the Munich Center for Machine Learning (MCML). His research interests include high-dimensional dependence models, statistical machine learning, time series, and statistical computing.\u0026lt;\/p\u0026gt;\u003cbr\u003e\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Dorota Kurowicka\u0026lt;\/strong\u0026gt; is an Associate Professor at the Delft Institute of Applied Mathematics, TU Delft, The Netherlands. Her research interests include risk analysis, uncertainty analysis, multivariate dependence models and graphical models.\u0026lt;\/p\u0026gt;\u003cbr\u003e\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Roger Cooke\u0026lt;\/strong\u0026gt; is a Senior Fellow Emeritus at Resources for the Future, Washington, D.C., USA, and also emeritus professor of mathematics at the Delft University of Technology. \u0026amp;nbsp;He is an expert on expert judgment, uncertainty analysis, mathematical modeling of risk and high dimensional dependence modeling.\u0026lt;\/p\u0026gt;\u003cbr\u003e\u0026lt;p\u0026gt;\u0026lt;strong\u0026gt;Harry Joe\u0026amp;nbsp;\u0026lt;\/strong\u0026gt;is a Professor at the Department of Statistics at the University of British Columbia, Vancouver, BC, Canada. His research interests include dependence modeling, non-normal time series, extreme value inference and inference based on low-dimensional margins.\u0026lt;\/p\u0026gt;\u003c\/p\u003e","products":[{"product_id":"statistical-dependence-modeling-thomas-nagler-ebook","title":"Statistical Dependence Modeling","description":"\u003cp class=\"MsoNormal\"\u003e\u003cspan lang=\"EN-US\" style=\"mso-ansi-language: EN-US;\"\u003ePreface.- Kjersti Aas, Roger Cooke, Harry Joe, Dorota Kurowicka, Thomas Nagler Growth cycle of vine copulas.- Nicole Barthel, Dominik Müller, Eike Brechmann A decade of elevating (with) vine copulas.- Panagiotis Serrano, Dorota Kurowicka Stochastic simulation inference algorithm in restricted Pair Copula Bayesian Network with single root node.- Manfred Denker, Aleksey Min Gibbs copulas.- Harry Joe: Diagnostics for the validity of the simplifying assumption for vine copulas.- Roger M. Cooke, Tim J. Bedford Identifiability and the simplifying assumption.- Alexis Derumigny Measures of non simplifyingness for conditional copulas and vines.- Thomas Nagler, Gerda Claeskens, Irène Gijbels On dimension reduction in conditional dependence models.- Canyi Chen, Ritoban Kundu, Wei Hao, Peter Song Copula structural equation models for mediation pathway analysis.- Ozan Evkaya, Ariane Hanebeck, Özge Sahin Clusterspecific ranking and variable importance for Scottish regional deprivation via vine mixtures.- Ilias Willems, Sara Rutten, Gilles Crommen, Ingrid van Keilegom: A flexible control function approach for survival data subject to different types of censoring.- Annette Möller, David Jobst, Ferdinand Buchner Vine copula based probabilistic weather forecasting - Review, challenges and future work.- Karoline Bax, Alessandro Fulci, Sandra Paterlini, Emanuele Taufer Generalized precision matrices for non Gaussian distributions Theory and portfolio applications.- Matthias Fischer LogTukey Type distributions as models for operational losses.- Gregor Zens, Sylvia Frühwirth Schnatter Marginal data augmentation for efficient Bayesian modeling of counts and rates with a demographic application.\u003c\/span\u003e\u003c\/p\u003e","brand":"Thomas Nagler","offers":[{"title":"Default Title","offer_id":54323673956679,"sku":"9783032142528","price":213.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/files\/statistical-dependence-modeling-ebook-cover.webp?v=1783715806"}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0920\/5455\/2903\/collections\/thomas-nagler-autor-kollektion.webp?v=1783715803","url":"https:\/\/www.cinebuch.de\/collections\/thomas-nagler.oembed","provider":"CineBuch","version":"1.0","type":"link"}