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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.
Norwegian
| Media | Books Hardcover Book (Book with hard spine and cover) |
| Released | February 2, 2019 |
| ISBN13 | 9780367240219 |
| Publishers | TAYLOR & FRANCIS |
| Dimensions | 150 × 220 × 20 mm · 500 g (Weight (estimated)) |
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