Bayesian analysis of stochastic process models Insua, David Rios

By:

Insua, David Rios

Contributor(s):

Material type: Text

TextPublication details: London John Wiley and Sons, Ltd. 2012Description: xiii, 290 p. 24 cmISBN:

9780470744536

Subject(s):

DDC classification:

519.542 I6B2

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"--Summary: "A unique book on Bayesian analyses of stochastic process based models"--

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Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Ahmedabad	Non-fiction	519.542 I6B2 (Browse shelf(Opens below))	Available		178980

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Includes bibliographical references and index.

"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"--

"A unique book on Bayesian analyses of stochastic process based models"--

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