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Insua, David

Bayesian Analysis of Stochastic Process Models

Insua, David - Bayesian Analysis of Stochastic Process Models, ebook

86,50€

Ebook, ePUB with Adobe DRM
ISBN: 9781118304037
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This book provides analysis of stochastic processes from a Bayesian perspective with coverage of the main classes of stochastic processing, including modeling, computational, inference, prediction, decision-making and important applied models based on stochastic processes. In offers an introduction of MCMC and other statistical computing machinery that have pushed forward advances in Bayesian methodology. Addressing the growing interest for Bayesian analysis of more complex models, based on stochastic processes, this book aims to unite scattered information into one comprehensive and reliable volume.

Keywords: Bayesian Analysis

Author(s)
 
 
Publisher
John Wiley and Sons, Inc.
Publication year
2012
Language
en
Edition
1
Series
Wiley Series in Probability and Statistics
Page amount
320 pages
Category
Natural Sciences
Format
Ebook
eISBN (ePUB)
9781118304037
Printed ISBN
9780470744536

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