Bayesian Analysis of Stochastic Process Models (Innbundet)

Serie: Wiley Series in Probability and Statistics 

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Forfatter: , og
Innbinding: Innbundet
Utgivelsesår: 2012
Antall sider: 332
Forlag: John Wiley and Sons Ltd
Språk: Engelsk
Serie: Wiley Series in Probability and Statistics
ISBN/EAN: 9780470744536
Omtale: Bayesian Analysis of Stochastic Process Models
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.

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