Bayesian Analysis of Stochastic Process Models Год выпуска: 2011Автор: David InsuaИздательство: Страниц: 320ISBN: 9780470744536Описание This book provides a unique opportunity to provide a unified view on analysis of stochastic processes from a Bayesian perspective. Covering the main classes of stochastic processing including modeling, computational, inference, prediction, decision–making and important applied models based on stochastic processes. .
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