Bayesian Inference for Stochastic Processes
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About the book
The book aims to introduce Bayesian inference methods for stochastic processes. The Bayesian approach has advantages compared to non-Bayesian, among which is the optimal use of prior information via data from previous similar experiments. Examples from biology, economics, and astronomy reinforce the basic concepts of the subject. R a
| Author | Lyle D. Broemeling |
|---|---|
| Publisher | Taylor & Francis Ltd |
| Published | 2020 m. |
| Language | English |
| Pages | 432 psl. |
| Format | Paperback |
| Genre | Matemātika |
| ISBN | 9780367572433 |
Other editions (1)
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