Ebook: Bayesian Inference for Stochastic Processes
Author: Lyle D Broemeling
- Tags: Probabilities, Bayesian statistical decision theory, Stochastic processes
- Year: 2018
- Publisher: CRC Press
- Language: English
- pdf
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.
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