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Bayesian Inference for Stochastic Processes Broemeling, Lyle D. (Medical Lake, Washington, USA) 第1 版
Bayesian Inference for Stochastic Processes
Broemeling, Lyle D. (Medical Lake, Washington, USA)
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 |
