Bayesian Analysis of Stochastic Process Models |
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| Author:
| Insua, David
Ruggeri, Fabrizio
Wiper, Mike |
| Series title: | Wiley Series in Probability and Statistics Ser. |
| ISBN: | 978-0-470-97591-6 |
| Publication Date: | Apr 2012 |
| Publisher: | John Wiley & Sons, Incorporated
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| Book Format: | Digital online |
| List Price: | USD $124.95 |
Book Description:
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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.
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.