| 000 | 01284cam a2200217 i 4500 | ||
|---|---|---|---|
| 020 | _a9780470744536 | ||
| 082 | 0 | 0 |
_a519.542 _bINS/B |
| 100 | 1 | _aRuggeri, Fabrizio. | |
| 245 | 1 | 0 | _aBayesian analysis of stochastic process models |
| 260 |
_aChichester _bJohn Wiley _c2012 |
||
| 300 |
_axiii, 290 pages : _billustrations ; |
||
| 520 | _a"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 of MCMC and other statistical computing machinery that have pushed forward advances in Bayesian methodology. Addressing the growing interest for Bayesian analysis of more complex models, based on stochastic processes, this book aims to unite scattered information into one comprehensive and reliable volume"-- | ||
| 520 | _a"A unique book on Bayesian analyses of stochastic process based models"-- | ||
| 650 | 0 | _aBayesian statistical decision theory | |
| 650 | 0 | _aStochastic processes | |
| 650 | 7 | _aProbability & Statistics | |
| 650 | 7 | _aBayesian Analysis | |
| 700 | 1 | _aWiper, Michael P. | |
| 700 | 1 | _aRíos Insua, David, | |
| 942 | _cBK | ||
| 999 |
_c37439 _d37439 |
||