Téléchargez le livre : Bayesian Analysis of Stochastic Process Models
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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.
Pages
316 pages
Collection
Wiley Series in Probability and Statistics
Parution
2012-03-19
Marque
Wiley
EAN papier
9780470744536
EAN PDF
9780470975923
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
316
Taille du fichier
5745 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
99,12 €
EAN EPUB
9781118304037
Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
316
Taille du fichier
5919 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
99,12 €

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