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Bayesian Inference for Stochastic Processes Broemeling, Lyle D. (Medical Lake, Washington, USA) 1. utgave
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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
| Media | Bøker Pocketbok (Bok med mykt omslag og limt rygg) |
| Utgitt | 30. juni 2020 |
| ISBN13 | 9780367572433 |
| Utgivere | Taylor & Francis Ltd |
| Antall sider | 432 |
| Mål | 150 × 220 × 10 mm · 830 g |
| Språk | Engelsk |
