Ilya Shpitser, Ph.D.

Affiliations: 
2008 University of California, Los Angeles, Los Angeles, CA 
Area:
artificial intelligence and knowledge representation; probabilistic and causal reasoning; nonstandard logics; learning strategies
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"Ilya Shpitser"

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Judea Pearl grad student 2008 UCLA
 (Complete identification methods for causal inference.)
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Publications

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Miles BCH, Shpitser I, Kanki P, et al. (2020) On semiparametric estimation of a path-specific effect in the presence of mediator-outcome confounding. Biometrika. 107: 159-172
Fulcher IR, Shpitser I, Marealle S, et al. (2019) Robust inference on population indirect causal effects: the generalized front door criterion Journal of the Royal Statistical Society: Series B (Statistical Methodology). 82: 199-214
Miles CH, Shpitser I, Kanki P, et al. (2017) Quantifying an Adherence Path-Specific Effect of Antiretroviral Therapy in the Nigeria PEPFAR Program. Journal of the American Statistical Association. 112: 1443-1452
Shpitser I, Tchetgen ET. (2016) CAUSAL INFERENCE WITH A GRAPHICAL HIERARCHY OF INTERVENTIONS. Annals of Statistics. 44: 2433-2466
Shpitser I, Mohan K, Pearl J. (2015) Missing data as a causal and probabilistic problem Uncertainty in Artificial Intelligence - Proceedings of the 31st Conference, Uai 2015. 802-811
Tchetgen EJT, Shpitser I. (2014) Estimation of a semiparametric natural direct effect model incorporating baseline covariates Biometrika. 101: 849-864
Shpitser I, Evans RJ, Richardson TS, et al. (2014) Introduction to Nested Markov Models Behaviormetrika. 41: 3-39
Shpitser I. (2013) Counterfactual graphical models for longitudinal mediation analysis with unobserved confounding. Cognitive Science. 37: 1011-35
Tchetgen EJ, Shpitser I. (2012) Semiparametric Theory for Causal Mediation Analysis: efficiency bounds, multiple robustness, and sensitivity analysis. Annals of Statistics. 40: 1816-1845
VanderWeele TJ, Shpitser I. (2011) A new criterion for confounder selection. Biometrics. 67: 1406-13
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