34 citations · 53 across the 6 of their papers we have counts for
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stat.ME2020★ 1 cited
The leave-one-covariate-out conditional randomization test
Eugene Katsevich, Aaditya Ramdas
Conditional independence testing is an important problem, yet provably hard without assumptions. One of the assumptions that has become popular of late is called "model-X", where w…
stat.ME2020★ 15 cited
Fast and Powerful Conditional Randomization Testing via Distillation
Molei Liu, Eugene Katsevich, Lucas Janson +1
We consider the problem of conditional independence testing: given a response Y and covariates (X,Z), we test the null hypothesis that Y is independent of X given Z. The conditiona…
math.ST2020
On the power of conditional independence testing under model-X
Eugene Katsevich, Aaditya Ramdas
For testing conditional independence (CI) of a response Y and a predictor X given covariates Z, the recently introduced model-X (MX) framework has been the subject of active method…