Showing 1–20 of 78 results
/ Date/ Name
Aug 13, 2020Multivariate Counterfactual Systems And Causal Graphical ModelsJul 27, 2022The Lauritzen-Chen Likelihood For Graphical ModelsAug 13, 2020An Interventionist Approach to Mediation AnalysisJul 7, 2023When does the ID algorithm fail?Sep 4, 2017Modeling Interference Via Symmetric Treatment DecompositionJul 20, 2012Parameter and Structure Learning in Nested Markov ModelsJan 23, 2017Nested Markov Properties for Acyclic Directed Mixed GraphsAug 15, 2021The Proximal ID AlgorithmMay 1, 2012Counterfactual Graphical Models for Longitudinal Mediation Analysis with Unobserved ConfoundingNov 8, 2014Causal Inference with a Graphical Hierarchy of InterventionsSep 12, 2017Personalizing Path-Specific EffectsMay 27, 2020Nonmyopic and pseudo-nonmyopic approaches to optimal sequential design in the presence of covariatesApr 9, 2024A General Identification Algorithm For Data Fusion Problems Under Systematic SelectionDec 6, 2023Evaluation of Active Feature Acquisition Methods for Static Feature SettingsApr 10, 2023Partial Identification of Causal Effects Using Proxy VariablesMar 15, 2012On the Validity of Covariate Adjustment for Estimating Causal EffectsJun 20, 2012What Counterfactuals Can Be TestedJul 15, 2021Entropic Inequality Constraints from $e$-separation Relations in Directed Acyclic Graphs with Hidden VariablesJan 17, 2020Counterexamples to "The Blessings of Multiple Causes" by Wang and BleiMay 20, 2019Conditionally-additive-noise Models for Structure Learning