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Analyzing Dependent Data with Vine Copulas: A Practical Guide with R
Paperback
Series: Lecture Notes in Statistics, Book 222
Business GeneralMedical ReferenceProbability & Statistics
ISBN13: 9783030137847
Publisher: Springer Nature
Published: May 15 2019
Pages: 242
Weight: 0.85
Height: 0.58 Width: 6.14 Depth: 9.21
Language: English
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.
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