Bayesian Analysis of Stochastic Process Models.
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...
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| Online Access: |
Full text (MCPHS users only) |
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| Main Author: | |
| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Hoboken :
John Wiley & Sons,
2012
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
