Bayesian Nonparametric Data Analysis

• Main Authors: Müller, Peter (Author), Quintana, Fernando Andres (Author), Jara, Alejandro (Author), Hanson, Tim (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Series: Springer Series in Statistics,
• Subjects: Statistics.; Statistical Theory and Methods.; Statistics and Computing/Statistics Programs.; Statistics for Life Sciences, Medicine, Health Sciences.

This book reviews nonparametric Bayesian methods and models that have proven useful in the context of data analysis. Rather than providing an encyclopedic review of probability models, the book’s structure follows a data analysis perspective. As such, the chapters are organized by traditional data a...

Table of Contents:

• Preface
• Acronyms
• 1.Introduction
• 2.Density Estimation - DP Models
• 3.Density Estimation - Models Beyond the DP
• 4.Regression
• 5.Categorical Data
• 6.Survival Analysis
• 7.Hierarchical Models
• 8.Clustering and Feature Allocation
• 9.Other Inference Problems and Conclusions
• Appendix: DP package.