Bayesian Inference for Stochastic Proces - Lyle D. Broemeling - Books - TAYLOR & FRANCIS - 9780367240219 - February 2, 2019
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Bayesian Inference for Stochastic Proces


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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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