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Consistent Estimation given Missing Data
Proceedings of the Ninth International Conference on Probabilistic Graphical Models, PMLR 72:284-295, 2018.
Abstract
This paper presents a unified approach for recovering causal and probabilistic queries using graphical models given missing (or incomplete) data. To this end, we develop a general algorithm that can recover conditional probability distributions and conditional causal effects in semi-Markovian models.