Simulating Copulas: Stochastic Models, Sampling Algorithms, And Applications
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A01=Jan-frederik Mai
A01=Matthias Scherer
Author_Jan-frederik Mai
Author_Matthias Scherer
Category=PBWL
Copula
Dependence Model
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
Monte Carlo
Random Vector
Simulation
Product details
- ISBN 9789813149243
- Publication Date: 02 Aug 2017
- Publisher: World Scientific Publishing Co Pte Ltd
- Publication City/Country: SG
- Product Form: Hardback
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"The book remains a valuable tool both for statisticians who are already familiar with the theory of copulas and just need to develop sampling algorithms, and for practitioners who want to learn copulas and implement the simulation techniques needed to exploit the potential of copulas in applications."Mathematical ReviewsThe book provides the background on simulating copulas and multivariate distributions in general. It unifies the scattered literature on the simulation of various families of copulas (elliptical, Archimedean, Marshall-Olkin type, etc.) as well as on different construction principles (factor models, pair-copula construction, etc.). The book is self-contained and unified in presentation and can be used as a textbook for graduate and advanced undergraduate students with a firm background in stochastics. Besides the theoretical foundation, ready-to-implement algorithms and many examples make the book a valuable tool for anyone who is applying the methodology.
