351 citations · 1.2k across the 48 of their papers we have counts for
Showing 2017 · stat.MEShow all
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stat.ME2017★ 20 cited
Causal Discovery in the Presence of Measurement Error: Identifiability Conditions
Kun Zhang, Mingming Gong, Joseph Ramsey +3
Measurement error in the observed values of the variables can greatly change the output of various causal discovery methods. This problem has received much attention in multiple fi…
stat.ME2017
Approximate Kernel-based Conditional Independence Tests for Fast Non-Parametric Causal Discovery
Eric V. Strobl, Kun Zhang, Shyam Visweswaran
Constraint-based causal discovery (CCD) algorithms require fast and accurate conditional independence (CI) testing. The Kernel Conditional Independence Test (KCIT) is currently one…