Bayesian Nonparametric Data Analysis

• Κύριοι συγγραφείς: Müller, Peter (Συγγραφέας), Quintana, Fernando Andres (Συγγραφέας), Jara, Alejandro (Συγγραφέας), Hanson, Tim (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2015.
• Σειρά: Springer Series in Statistics,
• Θέματα: 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...

Πίνακας περιεχομένων:

• 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.