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portada bayesian analysis of stochastic process models
bayesian analysis of stochastic process modelsbayesian analysis of stochastic process modelsbayesian analysis of stochastic process models
Type
Physical Book
Publisher
Year
2011
Language
English
Pages
320
Format
Hardcover
Dimensions
23.1x15.5x2.3 cm
Weight
0.58 kg.
ISBN13
9780470744536

bayesian analysis of stochastic process models

David Insua (Author) · Fabrizio Ruggeri (Author) · Mike Wiper (Author) · Wiley · Hardcover

bayesian analysis of stochastic process models - Insua, David ; Ruggeri, Fabrizio ; Wiper, Mike

New Book Imported to Taiwan
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Delivery: 22 Oct - 05 Nov Shipping: 14 to 19 business days.
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Synopsis "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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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Hardcover.

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