
Synthesized Difference in Differences
Randomized clinical trials (RCTs) eliminate confounding but impose stric...
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Automated Hyperparameter Selection for the PC Algorithm
The PC algorithm infers causal relations using conditional independence ...
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The Global Markov Property for a Mixture of DAGs
Real causal processes may contain feedback loops and change over time. I...
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Dirac Delta Regression: Conditional Density Estimation with Clinical Trials
Personalized medicine seeks to identify the causal effect of treatment f...
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Improved Causal Discovery from Longitudinal Data Using a Mixture of DAGs
Many causal processes in biomedicine contain cycles and evolve. However,...
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A ConstraintBased Algorithm For Causal Discovery with Cycles, Latent Variables and Selection Bias
Causal processes in nature may contain cycles, and real datasets may vio...
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Fast Causal Inference with NonRandom Missingness by TestWise Deletion
Many real datasets contain values missing not at random (MNAR). In this ...
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Approximate Kernelbased Conditional Independence Tests for Fast NonParametric Causal Discovery
Constraintbased causal discovery (CCD) algorithms require fast and accu...
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Estimating and Controlling the False Discovery Rate for the PC Algorithm Using EdgeSpecific PValues
The PC algorithm allows investigators to estimate a complete partially d...
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Markov Boundary Discovery with Ridge Regularized Linear Models
Ridge regularized linear models (RRLMs), such as ridge regression and th...
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Dependence versus Conditional Dependence in Local Causal Discovery from Gene Expression Data
Motivation: Algorithms that discover variables which are causally relate...
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Markov Blanket Ranking using Kernelbased Conditional Dependence Measures
Developing feature selection algorithms that move beyond a pure correlat...
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Eric V. Strobl
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