Bayesian Nonparametrics for Causal Inference and Missing Data

by Jason Roy, Antonio Linero, Michael J Daniels

Bayesian Nonparametrics for Causal Inference and Missing Data provides an overview of flexible Bayesian nonparametric (BNP) methods for modeling joint or conditional distributions and functional relationships, and their interplay with causal inference and missing data. This book emphasizes the importance of making untestable assumptions to identify estimands of interest, such as missing at random assumption for missing data and...

• Format: Hardcover
• Language: English
• ISBN: 036734100X
• ISBN13: 9780367341008
• Release Date: August 2023
• Publisher: CRC Press
• Length: 248 Pages
• Weight: 1.20 lbs.
• Dimensions: 0.6" x 6.1" x 9.2"