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stat.ME2021★ 1 cited
PKLM: A flexible MCAR test using Classification
Meta-Lina Spohn, Jeffrey Näf, Loris Michel +1
We develop a fully non-parametric, easy-to-use, and powerful test for the missing completely at random (MCAR) assumption on the missingness mechanism of a dataset. The test compare…
stat.ME2019
On the Use of Random Forest for Two-Sample Testing
Simon Hediger, Loris Michel, Jeffrey Näf
Following the line of classification-based two-sample testing, tests based on the Random Forest classifier are proposed. The developed tests are easy to use, require almost no tuni…