Datasets › ML for Two-Sample Testing
ML for Two-Sample Testing
This dataset is a supplement to the github repositiry (https://github.com/pfilonenko/ML_for_TwoSampleTesting) and paper addressed to solve the two-sample problem under right-censored observations using Machine Learning. The problem statement can be formualted as H0: S1(t)=S2(t) versus H: S1(t)≠S_2(t) where S1(t) and S2(t) are survival functions of samples X1 and X2.
This dataset contains the synthetic data simulated by the Monte Carlo method and Inverse Transform Sampling
Benchmarks archive 2025-07-28
No leaderboard in the archive resolves to this dataset.
Papers archive 2025-07-28
No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.
Dataset loaders archive 2025-07-28
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Tasks archive 2025-07-28
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License archive 2025-07-28
Apache-2.0
Modalities archive 2025-07-28
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Languages archive 2025-07-28
Variants archive 2025-07-28
- ML for Two-Sample Testing
1 variant name, as the archive lists them.
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