Bayesian analysis of stochastic process models
Auteur :
Insua, David / Ruggeri, Fabrizio / Wiper, Mike
Éditeur :
John Wiley & Sons Inc
ISBN :
9780470744536
Date de publication :
14 mai 2012
Dimensions :
23,5 x 15,9 x 2,3 cm
Poids :
585 g
Langue :
Anglais
Pays d'origine :
USA
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.