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Bayesian Inference for Stochastic Processes Lyle D. Broemeling 第1 版
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
| メディア | 書籍 Hardcover Book (ハードカバー付きの本) |
| リリース済み | 2017年12月15日 |
| ISBN13 | 9781138196131 |
| 出版社 | Taylor & Francis Ltd |
| ページ数 | 448 |
| 寸法 | 260 × 185 × 29 mm · 952 g |
| 言語 | 英語 |
