On the Testability of Causal Models with Latent and Instrumental Variables

20 February 2013

Papers citing "On the Testability of Causal Models with Latent and Instrumental Variables"

40 / 40 papers shown

Title
A primer on optimal transport for causal inference with observational data Florian F Gunsilius OT CML 123 0 0 10 Mar 2025
Revisiting the Berkeley Admissions data: Statistical Tests for Causal Hypotheses Sourbh Bhadane Joris Mooij Philip A. Boeken O. Zoeter 155 0 0 17 Feb 2025
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms R. Karlsson Jesse H. Krijthe CML 158 1 0 10 Feb 2025
Testability of Instrumental Variables in Additive Nonlinear, Non-Constant Effects Models Xichen Guo Zheng Li Erdun Gao Yan Zeng Zhi Geng Feng Xie 107 1 0 19 Nov 2024
Parameter identification in linear non-Gaussian causal models under general confounding D. Tramontano Mathias Drton Jalal Etesami CML 137 2 0 31 May 2024
Automating the Selection of Proxy Variables of Unmeasured Confounders Feng Xie Zhengming Chen Shanshan Luo Wang Miao Ruichu Cai Zhi Geng CML 67 2 0 25 May 2024
Classifying Causal Structures: Ascertaining when Classical Correlations are Constrained by Inequalities Shashaank Khanna Marina Maciel Ansanelli Matthew F Pusey Elie Wolfe 62 5 0 04 Aug 2023
Counterfactual Identifiability of Bijective Causal Models Arash Nasr-Esfahany MohammadIman Alizadeh Devavrat Shah CML BDL 113 27 0 04 Feb 2023
Latent-free equivalent mDAGs R. Evans 64 3 0 14 Sep 2022
Data-Driven Causal Effect Estimation Based on Graphical Causal Modelling: A Survey Debo Cheng Jiuyong Li Lin Liu Jixue Liu T. Le CML 94 32 0 20 Aug 2022
Sensitivity Analysis of G-estimators to Invalid Instrumental Variables Valentin Vancak Arvid Sjolander CML 27 3 0 11 Aug 2022
The d-separation criterion in Categorical Probability Tobias Fritz Andreas Klingler 51 18 0 12 Jul 2022
Discovering Ancestral Instrumental Variables for Causal Inference from Observational Data Debo Cheng Jiuyong Li Lin Liu Kui Yu Thuc Duy Lee Hefei University of Technology CML 59 15 0 04 Jun 2022
Treatment Learning Causal Transformer for Noisy Image Classification Chao-Han Huck Yang I-Te Danny Hung Yi-Chieh Liu Pin-Yu Chen ViT 55 7 0 29 Mar 2022
On Testability of the Front-Door Model via Verma Constraints Rohit Bhattacharya Razieh Nabi 87 9 0 01 Mar 2022
The Causal Marginal Polytope for Bounding Treatment Effects Jakob Zeitler Ricardo M. A. Silva 130 3 0 28 Feb 2022
Variable elimination, graph reduction and efficient g-formula F. R. Guo Emilija Perković A. Rotnitzky CML 74 7 0 24 Feb 2022
Ancestral Instrument Method for Causal Inference without Complete Knowledge Debo Cheng Jiuyong Li Lin Liu Jiji Zhang T. Le Jixue Liu CML 39 6 0 11 Jan 2022
Causal inference with imperfect instrumental variables N. Miklin M. Gachechiladze George Moreno Rafael Chaves 57 6 0 04 Nov 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
Causal Inference in medicine and in health policy, a summary Wenhao Zhang Ramin Ramezani A. Naeim CML OOD 76 6 0 10 May 2021
Combining Interventional and Observational Data Using Causal Reductions Maximilian Ilse Patrick Forré Max Welling Joris M. Mooij OOD CML 57 0 0 08 Mar 2021
Training a Resilient Q-Network against Observational Interference Chao-Han Huck Yang I-Te Danny Hung Ouyang Yi Pin-Yu Chen OOD 59 15 0 18 Feb 2021
Quantifying the Causal Effects of Conversational Tendencies Justine Zhang Sendhil Mullainathan Cristian Danescu-Niculescu-Mizil CML 73 26 0 08 Sep 2020
Quantifying causal influences in the presence of a quantum common cause M. Gachechiladze N. Miklin Rafael Chaves 49 20 0 02 Jul 2020
Ivy: Instrumental Variable Synthesis for Causal Inference Zhaobin Kuang Frederic Sala N. Sohoni Sen Wu A. Córdova-Palomera Jared A. Dunnmon J. Priest Christopher Ré CML 62 27 0 11 Apr 2020
A path-sampling method to partially identify causal effects in instrumental variable models F. Gunsilius 9 6 0 21 Oct 2019
Non-testability of instrument validity under continuous endogenous variables F. Gunsilius 13 2 0 25 Jun 2018
The Inflation Technique Completely Solves the Causal Compatibility Problem M. Navascués Elie Wolfe 71 35 0 20 Jul 2017
Semidefinite tests for latent causal structures Aditya Kela Kai Von Prillwitz J. Åberg Rafael Chaves David Gross CML 91 19 0 03 Jan 2017
Counterfactual Prediction with Deep Instrumental Variables Networks Jason S. Hartford Greg Lewis Kevin Leyton-Brown Matt Taddy CML OOD 190 49 0 30 Dec 2016
Margins of discrete Bayesian networks R. Evans 106 69 0 09 Jan 2015
Graphs for margins of Bayesian networks R. Evans CML UQCV 121 92 0 08 Aug 2014
Inferring latent structures via information inequalities Rafael Chaves L. Luft T. O. Maciel David Gross Dominik Janzing Bernhard Schölkopf CML 147 43 0 08 Jul 2014
Identifying Independencies in Causal Graphs with Feedback Judea Pearl R. Dechter CML 99 106 0 13 Feb 2013
Semi-Instrumental Variables: A Test for Instrument Admissibility T. Chu R. Scheines Peter Spirtes CML 66 15 0 10 Jan 2013
Instrumentality Tests Revisited Blai Bonet 107 91 0 10 Jan 2013
On the Testable Implications of Causal Models with Hidden Variables Jin Tian Judea Pearl CML 101 176 0 12 Dec 2012
Graphical methods for inequality constraints in marginalized DAGs R. Evans CML 126 42 0 13 Sep 2012
Inequality Constraints in Causal Models with Hidden Variables Changsung Kang Jin Tian 77 33 0 27 Jun 2012