TY  - CHAP
AU  - Sien Chen
AU  - Wenqiang Huang
AU  - Mengxi Chen
AU  - Junjiang Zhong
AU  - Jie
Cheng
ED  - Javier Prieto Tejedor
Y1  - 2017-11-02
PY  - 2017
T1  - Airlines Content Recommendations Based on Passengers' Choice Using Bayesian Belief Networks
N2  - 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.
BT  - Bayesian Inference
SP  - Ch. 18
UR  - https://doi.org/10.5772/intechopen.70131
DO  - 10.5772/intechopen.70131
SN  - 978-953-51-3578-4
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-26
ER  -