Bayesian Nonparametric Data Analysis

by Peter Muller, Tim Hanson, Fernando Andrés Quintana, et al.

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 analysis problems. In selecting specific nonparametric models, simpler and more traditional models are favored over specialized ones.

The discussed methods...

• Format: Paperback
• Language: English
• ISBN: 3319368427
• ISBN13: 9783319368429
• Release Date: October 2016
• Publisher: Springer
• Length: 193 Pages
• Weight: 0.66 lbs.
• Dimensions: 0.4" x 6.1" x 9.2"