Bayesian Analysis of Stochastic Process Models PDF ePub eBook

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Bayesian Analysis of Stochastic Process Models free pdf Bayesian analysis of complex models based on stochastic processes has in recent years become a growing area. This book provides a unified treatment of Bayesian analysis of models based on stochastic processes, covering the main classes of stochastic processing including modeling, computational, inference, forecasting, decision making and important applied models. Key features: * Explores Bayesian analysis of models based on stochastic processes, providing a unified treatment. * Provides a thorough introduction for research students. * Computational tools to deal with complex problems are illustrated along with real life case studies * Looks at inference, prediction and decision making. Researchers, graduate and advanced undergraduate students interested in stochastic processes in fields such as statistics, operations research (OR), engineering, finance, economics, computer science and Bayesian analysis will benefit from reading this book. With numerous applications included, practitioners of OR, stochastic modelling and applied statistics will also find this book useful.

About Fabrizio Ruggeri

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Details Book

Author : Fabrizio Ruggeri
Publisher : Wiley-Blackwell
Data Published : 30 March 2012
ISBN : 0470744537
EAN : 9780470744536
Format Book : PDF, Epub, DOCx, TXT
Number of Pages : 332 pages
Age + : 15 years
Language : English
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