Thomas Nagler
<p><strong>Thomas Nagler </strong>is a Professor of Computational Statistics & 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. He is an expert on expert judgment, uncertainty analysis, mathematical modeling of risk and high dimensional dependence modeling.</p>
<p><strong>Harry Joe </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>
Zuletzt erschienen
Statistical Dependence Modeling
von Thomas Nagler
- Format
- E-Book
- Erscheinung
- 09.07.2026
- Preis
- €213,99
Sofort als Download verfügbar

