A new paper published on arXiv introduces a method to improve Maximum Mean Discrepancy (MMD) testing by addressing the common issue of unequal sample sizes. The research extends generalized U-statistics to the MMD estimator, providing a way to use all available data without discarding samples. This approach enhances test accuracy and power, particularly in scenarios where sample sizes are disproportionate. AI
RANK_REASON The cluster contains a research paper detailing a new statistical method. [lever_c_demoted from research: ic=1 ai=0.7]
- alphaXiv
- arXiv
- CatalyzeX Code Finder for Papers
- DagsHub
- Danica Sutherland
- Generalized U-statistics
- Gotit.pub
- Hugging Face
- Maximum Mean Discrepancy
- ScienceCast
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