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Bayesian Inference for Stochastic Proces Lyle D. Broemeling
Bayesian Inference for Stochastic Proces
Lyle D. Broemeling
The booknbspaims 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.nbspExamples fromnbspbiology, economics, and astronomy reinforce the basic concepts of the subject. R and WinBUGS.
ノルウェー語
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2019年2月2日 |
| ISBN13 | 9780367240219 |
| 出版社 | TAYLOR & FRANCIS |
| 寸法 | 150 × 220 × 20 mm · 500 g (重量（概算）) |
