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Bayesian Inference for Stochastic Processes Broemeling, Lyle D. (Medical Lake, Washington, USA) 1e uitgave
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 | Boeken Paperback Book (Boek met zachte kaft en gelijmde rug) |
| Vrijgegeven | 30 juni 2020 |
| ISBN13 | 9780367572433 |
| Uitgevers | Taylor & Francis Ltd |
| Pagina's | 432 |
| Afmetingen | 150 × 220 × 10 mm · 830 g |
| Taal en grammatica | Engels |