David (Department of Statistics and Operations Research, Universidad Rey Juan Carlos, Madrid, Spain) Insua
Meer over de auteurs
David (Department of Statistics and Operations Research, Universidad Rey Juan Carlos, Madrid, Spain) Insua,
Fabrizio (CNR IMATI, Milano, Italy) Ruggeri,
Mike (Department of Statistics, Universidad Carlos III de Madrid, Spain) Wiper
John Wiley & Sons Inc
e druk, 2012
9780470744536
Bayesian Analysis of Stochastic Process Models
Specificaties
Gebonden, 316 blz.
|
EN
John Wiley & Sons Inc |
e druk, 2012
ISBN13: 9780470744536
Rubricering
Onderdeel van serie
Wiley Series in Probability and Statistics
Levertijd ongeveer 15 werkdagen
Samenvatting
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.
Specificaties
ISBN13:9780470744536
Taal:EN
Bindwijze:Gebonden
Aantal pagina's:316
Uitgever:John Wiley & Sons Inc