Bayesian Inference for Stochastic Processes

By Lyle D Broemeling and Lyle D. Broemeling

Book Overview

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

• Format: Paperback
• Language: English
• ISBN: 0367572435
• ISBN13: 9780367572433
• Release Date: June 2020
• Publisher: CRC Press
• Length: 432 Pages
• Weight: 1.72 lbs.
• Dimensions: 0.9" x 6.9" x 10.0"