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Livro Digital

Bayesian Analysis of Stochastic Process Models (Cód: 9286576)

Fabrizio Ruggeri; David Insua; Mike Wiper

Wiley (Digital)

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Bayesian Analysis of Stochastic Process Models

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Descrição

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.

Características

Produto sob encomenda Sim
Marca Wiley (Digital)
Cód. Barras 9780470975923
Acabamento ebook
Início da Venda 03/03/2016
Coleção / Série Wiley Series in Probability and Statistics
Territorialidade Internacional
Proteção Drm Sim
Número da edição 1
Idioma 337
Código do Formato Pdf
VOLUME 970
Peso 0.00 Kg
AutorFabrizio Ruggeri; David Insua; Mike Wiper

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