Bayesian Nonparametrics for Causal Inference and Missing Data

By Jason Roy, Antonio Linero, Michael J Daniels

Bayesian nonparametric (BNP) methods can be used to flexibly model joint or conditional distributions, as well as functional relationships. These methods, along with causal and/or missingness assumptions, can be used with the g-formula to infer causal effects.

• 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"