2019
Identification In Missing Data Models Represented By Directed Acyclic Graphs
UAI 2019poster
Missing data is a pervasive problem in data analyses, resulting in datasets that contain censored realizations of a target distribution. Many approaches to inference on the target distribution using censored observed data, rely on missing data models represented as a factorization with respect to a…