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Bayesian analysis of stochastic process models

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"This book provides analysis of stochastic processes from a Bayesian perspective with coverage of the main classes of stochastic processing, including modeling, computational, inference, prediction, decision-making and important applied models based on stochastic processes. In offers an introdu...

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Dades bibliogràfiques
Autor principal:	Ruggeri, Fabrizio
Altres autors:	Wiper, Michael P., Ríos Insua, David
Format:	Printed Book
Publicat:	Chichester John Wiley 2012
Matèries:	Bayesian statistical decision theory Stochastic processes Probability & Statistics Bayesian Analysis

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