A General Method for Deriving Tight Symbolic Bounds on Causal Effects

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A General Method for Deriving Tight Symbolic Bounds on Causal Effects

24 March 2020

Michael C Sachs

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Papers citing "A General Method for Deriving Tight Symbolic Bounds on Causal Effects"

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Title
BudgetIV: Optimal Partial Identification of Causal Effects with Mostly Invalid Instruments Jordan Penn L. Gunderson Gecia Bravo Hermsdorff Ricardo M. A. Silva David S. Watson 69 0 0 11 Nov 2024
Consistency of Neural Causal Partial Identification Jiyuan Tan Jose Blanchet Vasilis Syrgkanis CML 109 0 0 24 May 2024
Tightening Bounds on Probabilities of Causation By Merging Datasets Numair Sani Atalanti A. Mastakouri 81 1 0 12 Oct 2023
Scalable Computation of Causal Bounds Madhumitha Shridharan G. Iyengar 44 1 0 04 Aug 2023
Efficient Computation of Counterfactual Bounds Marco Zaffalon Alessandro Antonucci Rafael Cabañas David Huber Dario Azzimonti 47 2 0 17 Jul 2023
Partial Counterfactual Identification of Continuous Outcomes with a Curvature Sensitivity Model Valentyn Melnychuk Dennis Frauen Stefan Feuerriegel 124 11 0 02 Jun 2023
Bounding probabilities of causation through the causal marginal problem Numair Sani Atalanti A. Mastakouri Dominik Janzing CML 109 4 0 04 Apr 2023
Accessible Computation of Tight Symbolic Bounds on Causal Effects using an Intuitive Graphical Interface Gustav Jonzon Michael C Sachs Erin E Gabriel CML 21 2 0 08 Sep 2022
Partial Counterfactual Identification from Observational and Experimental Data Junzhe Zhang Jin Tian Elias Bareinboim 71 64 0 12 Oct 2021
An Automated Approach to Causal Inference in Discrete Settings Guilherme Duarte N. Finkelstein D. Knox Jonathan Mummolo I. Shpitser 96 49 0 28 Sep 2021
Bounding Causes of Effects with Mediators P. Dawid M. Humphreys M. Musio 33 10 0 30 Jun 2019