Bayesian Analysis of Stochastic Process Models Hardback
by David (Department of Statistics and Operations Research, Universidad Rey Juan Carlos, Madrid, Insua, Fabrizio (CNR IMATI, Milano, Italy) Ruggeri, Mike (Department of Statistics, Universidad Carlos III de Madrid, Spain) Wiper
Part of the Wiley Series in Probability and Statistics series
Hardback
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Description
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.
Information
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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:316 pages
- Publisher:John Wiley & Sons Inc
- Publication Date:30/03/2012
- Category:
- ISBN:9780470744536
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Hardback
- Pages:316 pages
- Publisher:John Wiley & Sons Inc
- Publication Date:30/03/2012
- Category:
- ISBN:9780470744536