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Thomas Nagler

<p><strong>Thomas Nagler </strong>is a Professor of Computational Statistics &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.</p>
<p><strong>Dorota Kurowicka</strong> 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.</p>
<p><strong>Roger Cooke</strong> 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. &nbsp;He is an expert on expert judgment, uncertainty analysis, mathematical modeling of risk and high dimensional dependence modeling.</p>
<p><strong>Harry Joe&nbsp;</strong>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.</p>

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Statistical Dependence Modeling

von Thomas Nagler

Preface.- 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...
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Erscheinung
09.07.2026
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€213,99

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