ISBN : 9781032486321
Author : Brian J. Reich
Publisher : CRC
Year : 2026
Language : English
Type : Book
Description : Preface 1 Basics of Bayesian inference 2 From prior information to posterior inference 3 Computational approaches 4 Linear models 5 Hypothesis testing 6 Model selection and diagnostics 7 Case studies using hierarchical modeling 8 Machine learning 9 Statistical properties of Bayesian methods Appendices Bibliography Index