Forventes på lager: 30-03-2012
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.
| Forlag | John Wiley & Sons Inc |
| Forfattere | David (Department of Statistics and Operations Research Insua, Fabrizio (CNR IMATI Ruggeri, Mike (Department of Statistics Wiper |
| Type | Bog |
| Format | Hardback |
| Sprog | Engelsk |
| Udgivelsesdato | 30-03-2012 |
| Første udgivelsesår | 2012 |
| Serie | Wiley Series in Probability and Statistics |
| Originalsprog | United States |
| Sideantal | 316 |
| Indbinding | Hardback |
| Forlag | John Wiley & Sons Inc |
| Sideoplysninger | 316 pages |
| Mål | 159 x 235 x 22 |
| ISBN-13 / EAN-13 | 9780470744536 |