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Handbook of Markov Chain Monte Carlo

Langbeschreibung
Handbook of Markov Chain Monte Carlo brings together the major advances that have occurred in recent years while incorporating enough introductory material for new users of MCMC. Along with thorough coverage of the theoretical foundations and algorithmic and computational methodology, this comprehensive handbook includes substantial realistic case studies from a variety of disciplines. These case studies demonstrate the application of MCMC methods and serve as a series of templates for the construction, implementation, and choice of MCMC methodology.
Inhaltsverzeichnis
Foundations, Methodology, and Algorithms. Applications.
Steve Brooks, Andrew Gelman, Galin Jones, Xiao-Li Meng
ISBN-13:
9781420079425
Veröffentl:
2011
Seiten:
619
Autor:
Steve Brooks
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
0 - No protection
Sprache:
Englisch

66,49 €*

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