Simulating copulas stochastic models, sampling algorithms, and applications

This book provides the reader with a 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 (...

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Bibliographic Details
Main Authors: Mai, Jan-Frederik (Author), Scherer, Matthias (Author)
Format: Book
Language:English
Published: Hackensack, NJ World Scientific Pub. 2017
Edition:Second edition.
Series:Series in quantitative finance
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100 1 |a Mai, Jan-Frederik,  |e author. 
245 1 0 |a Simulating copulas  |b stochastic models, sampling algorithms, and applications  |c Jan-Frederik Mai, Matthias Scherer ; with contributions by Claudia Czado, Elke Korn, Ralf Korn, Jakob Stober. 
250 |a Second edition. 
264 1 |a Hackensack, NJ  |b World Scientific Pub.  |c 2017 
300 |a xvii, 338 pages  |b illustrations  |c 24 cm. 
336 |a text  |2 rdacontent 
337 |a unmediated  |2 rdamedia 
338 |a volume  |2 rdacarrier 
490 1 |a Series in quantitative finance 
504 |a Includes bibliographical references (pages 323-334) and index. 
520 |a This book provides the reader with a 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.). Alongside the theoretical foundation, ready-to-implement algorithms and many examples make this book a valuable tool for anyone who is applying the methodology. 
592 |a 37706  |b 26/08/2019  |c RM 467.12  |h Bookline 
650 0 |a Copulas (Mathematical statistics) 
650 0 |a Stochastic models. 
700 1 |a Scherer, Matthias,  |e author. 
830 0 |a Series in quantitative finance 
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