Bayesian Analysis of Stochastic Process Models - Insua, David (Department of Statistics and Operations Research, Universidad Rey Juan Carlos, Madrid, Spain) a Ruggeri, Fabrizio (CNR IMATI, Milano, Italy) a Wiper, Mike (Department of Statistics, Universidad Carlos III de Madrid, Spain)

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.