2019
Causal Discovery in the Presence of Missing Data
AISTATS 2019poster
Missing data are ubiquitous in many domains such as healthcare. When these data entries are not missing completely at random, the (conditional) independence relations in the observed data may be different from those in the complete data generated by the underlying causal process. Consequently, simpl…