Bayesian Inference for Stochastic Processes

Printed Book
Sold as: EACH
SR 18 Per Month /24 months
Author: Broemeling, Lyle D.
Date of Publication: 2020
Book classification: Science & Mathematics, English Books,
No. of pages: 450 Pages
Format: Paperback

This book is printed on demand and is non-refundable after purchase

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    About this Product

    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
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