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Bayesian Inference for Stochastic Processes
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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
This item is Non-Returnable
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Details
- ISBN-13: 9780367572433
- ISBN-10: 0367572435
- Publisher: CRC Press
- Publish Date: June 2020
- Dimensions: 10 x 6.9 x 0.9 inches
- Shipping Weight: 1.72 pounds
- Page Count: 432
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