Bayesian analysis of stochastic process models / David Rios Insua, Department of Statistics and Operations Research Universidad Rey Juan Carlos, Madrid, Spain, Fabrizio Ruggeri, CNR-IMATI, Milan, Italy, Michael P. Wiper, Department of Statistics, Universidad Carlos III de Madrid, Spain.

"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 introduction...

Full description