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Bayesian analysis of stochastic process models / David Rios Insua, Fabrizio Ruggeri, Michael P. Wiper.

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Author/Creator:
Ruggeri, Fabrizio.
Language:
English.
Publication date:
2012
Copyright date:
2012
Imprint:
Chichester, United Kingdom : Wiley, 2012.
Format:
  • Book
  • xiii, 290 pages : illustrations ; 24 cm
Bibliography:
Includes bibliographical references and index.
Summary:
"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"-- Provided by publisher.
Contributor:
Wiper, Michael P.
Ríos Insua, David, 1964-
Series:
Wiley series in probability and statistics.
Subjects:
ISBN:
9780470744536
0470744537
9780470975916
0470975911

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