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Bayesian Inference for Stochastic Processes Broemeling, Lyle D. (Medical Lake, Washington, USA) 1er édition
Bayesian Inference for Stochastic Processes
Broemeling, Lyle D. (Medical Lake, Washington, USA)
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
| Médias | Livres Paperback Book (Livre avec couverture souple et dos collé) |
| Validé | 30 juin 2020 |
| ISBN13 | 9780367572433 |
| Éditeurs | Taylor & Francis Ltd |
| Pages | 432 |
| Dimensions | 150 × 220 × 10 mm · 830 g |
| Langue et grammaire | Anglais |