Bayesian Inference

The range of Bayesian inference algorithms and their different applications has been greatly expanded since the first implementation of a Kalman filter by Stanley F. Schmidt for the Apollo program. Extended Kalman filters or particle filters are just some examples of these algorithms that have been extensively applied to logistics, medical services, search and rescue operations, or automotive safety, among others. This book takes a look at both theoretical foundations of Bayesian inference and practical implementations in different fields. It is intended as an introductory guide for the application of Bayesian inference in the fields of life sciences, engineering, and economics, as well as a source document of fundamentals for intermediate Bayesian readers.

Author: Javier Prieto Tejedor

Publisher: BoD ? Books on Demand

Publication Date: Nov 02, 2017

Number of Pages: 379 pages

Language: English

Binding: Hardcover

ISBN-10: 9535135775

ISBN-13: 9789535135777