Bayesian Nonparametrics For Causal Inference And Missing Data (Chapman & Hall/crc Monographs On Statistics And Applied Probability)
by Michael J. Daniels(Author)
Formats
Hardback/English
USD 167.40
Description
Bayesian Nonparametric Methods for Missing Data and Causal Inference 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 unconfoundedness for causal inference in observational studie
