Bayesian Analysis of Stochastic Process Models

Name: Bayesian Analysis of Stochastic Process Models
Author: Spain) Madrid Universidad Rey Juan Carlos David (Department of Statistics and Operations Research Insua

Spain) Madrid Universidad Rey Juan Carlos David (Department of Statistics and Operations Research Insua, Italy) Milano Fabrizio (CNR IMATI Ruggeri, Spain) Universidad Carlos III de Madrid Mike (Department of Statistics Wiper

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Bayesian Analysis of Stochastic Process Models 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.

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