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Bayesian Inference for Stochastic Processes
Lyle D. Broemeling
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
432 pages
| Medij | Knjige Paperback Book (Knjiga z mehkimi platnicami in lepljenim hrbtom) |
| Izdano | 30. junija 2020 |
| ISBN13 | 9780367572433 |
| Založniki | Taylor & Francis Ltd |
| Strani | 432 |
| Dimenzije | 150 × 220 × 10 mm · 830 g |
| Jezik | Angleščina |
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