Buch
Analyzing Dependent Data with Vine Copulas
-A Practical Guide With R-Claudia Czado
74,89
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Lecture Notes in Statistics (Bd. 222) |
Sprache | : | Englisch |
Erschienen | : | 15. 05. 2019 |
Seiten | : | 242 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 155 mm |
Gewicht | : | 421 g |
ISBN | : | 9783030137847 |
Sprache | : | Englisch |
Autorinformation
Claudia Czado is an Associate Professor of Applied Mathematical Statistics at the Technical University of Munich, Germany. Her research interests are in the dependence modeling of complex data structures, copula based quantile regression, generalized linear models and computational Bayesian methods, and the applications of these methods. She holds a Ph.D. in Operations Research and Industrial Engineering from Cornell University, USA.
Inhaltsverzeichnis
Preface.- Multivariate Distributions and Copulas.- Dependence Measures.- Bivariate Copula Classes, Their Visualization and Estimation.- Pair Copula Decompositions and Constructions.- Regular Vines.- Simulating Regular Vine Copulas and Distributions.- Parameter Estimation in Regular Vine Copulas.- Selection of Regular Vine Copula Models.- Comparing Regular Vine Copula Models.- Case Study: Dependence Among German DAX Stocks.- Recent Developments in Vine Copula Based Modeling.- Indices.