Consistent Estimation given Missing Data

Karthika Mohan, Judea Pearl
; 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.

Cite this Paper


BibTeX
@InProceedings{pmlr-v72-mohan18a, title = {Consistent Estimation given Missing Data}, author = {Mohan, Karthika and Pearl, Judea}, booktitle = {Proceedings of the Ninth International Conference on Probabilistic Graphical Models}, pages = {284--295}, year = {2018}, editor = {Václav Kratochvíl and Milan Studený}, volume = {72}, series = {Proceedings of Machine Learning Research}, address = {Prague, Czech Republic}, month = {11--14 Sep}, publisher = {PMLR}, pdf = {http://proceedings.mlr.press/v72/mohan18a/mohan18a.pdf}, url = {http://proceedings.mlr.press/v72/mohan18a.html}, 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. } }
Endnote
%0 Conference Paper %T Consistent Estimation given Missing Data %A Karthika Mohan %A Judea Pearl %B Proceedings of the Ninth International Conference on Probabilistic Graphical Models %C Proceedings of Machine Learning Research %D 2018 %E Václav Kratochvíl %E Milan Studený %F pmlr-v72-mohan18a %I PMLR %J Proceedings of Machine Learning Research %P 284--295 %U http://proceedings.mlr.press %V 72 %W PMLR %X 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.
APA
Mohan, K. & Pearl, J.. (2018). Consistent Estimation given Missing Data. Proceedings of the Ninth International Conference on Probabilistic Graphical Models, in PMLR 72:284-295

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