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Bayesian Inference for Stochastic Processes Lyle D. Broemeling 1. izdevums
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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 and WinBUGS.
432 pages, 30 Illustrations, black and white
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2017. gada 15. decembris |
| ISBN13 | 9781138196131 |
| Izdevēji | Taylor & Francis Ltd |
| Lapas | 448 |
| Izmēri | 260 × 185 × 29 mm · 952 g |
| Valoda | Angļu |
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