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Bayesian Inference for Stochastic Processes Lyle D. Broemeling 第1 版本
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 a
432 pages
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2020年6月30日 |
| ISBN13 | 9780367572433 |
| 出版商 | Taylor & Francis Ltd |
| 页数 | 432 |
| 商品尺寸 | 150 × 220 × 10 mm · 830 g |
| 语言 | 英语 |
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