Bayesian Inference for Stochastic Processes - Lyle D. Broemeling
-25% koodilla BOOKS
Toimitus 15-21 arkipäivässä
30 päivän palautusoikeus
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
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Kuvaus
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
Lisätietoja
| Kirjoittaja | Lyle D. Broemeling |
|---|---|
| Julkaisija | CRC Press |
| Julkaisuvuosi | 2020 |
| Kannen tyyppi | Pehmeäkantinen |
| EAN | 9780367572433 |