Detecting confounding in multivariate linear models via spectral analysis

5 April 2017

Papers citing "Detecting confounding in multivariate linear models via spectral analysis"

11 / 11 papers shown

Title
Falsification of Unconfoundedness by Testing Independence of Causal Mechanisms R. Karlsson Jesse H. Krijthe CML 112 1 0 10 Feb 2025
Total positivity in Markov structures Shaun M. Fallat Steffen Lauritzen Kayvan Sadeghi Caroline Uhler N. Wermuth Piotr Zwiernik 52 76 0 05 Oct 2015
Strong Completeness and Faithfulness in Bayesian Networks Christopher Meek 104 309 0 20 Feb 2013
Geometry of the faithfulness assumption in causal inference Caroline Uhler Garvesh Raskutti Peter Buhlmann B. Yu 109 221 0 02 Jul 2012
Quantifying causal influences Dominik Janzing David Balduzzi Moritz Grosse-Wentrup Bernhard Schölkopf CML 86 219 0 29 Mar 2012
Testing whether linear equations are causal: A free probability theory approach Jakob Zscheischler Dominik Janzing Kun Zhang CML 105 40 0 14 Feb 2012
Detecting low-complexity unobserved causes Dominik Janzing Eleni Sgouritsa O. Stegle J. Peters Bernhard Schölkopf CML 49 24 0 14 Feb 2012
Latent variable graphical model selection via convex optimization V. Chandrasekaran P. Parrilo A. Willsky CML 207 509 0 06 Aug 2010
How close is the sample covariance matrix to the actual covariance matrix? Roman Vershynin 116 288 0 20 Apr 2010
Telling cause from effect based on high-dimensional observations Dominik Janzing P. Hoyer Bernhard Schölkopf CML 82 78 0 24 Sep 2009
Causal inference using the algorithmic Markov condition Dominik Janzing Bernhard Schölkopf CML 160 306 0 23 Apr 2008