Bayesian Inference for Stochastic Processes - Lyle D. Broemeling
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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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Aprašymas
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
Vairāk informācijas
| Autors | Lyle D. Broemeling |
|---|---|
| Izdevējs | CRC Press |
| Izlaides gads | 2020 |
| Vāka tips | Mīkstais vāks |
| EAN | 9780367572433 |