OASIS: An interpretable, finite-sample valid alternative to Pearson's X2 for scientific discovery
Contingency tables, data represented as counts matrices, are ubiquitous across quantitative research and data-science applications. Existing statistical tests are insufficient however, as none are simultaneously computationally efficient and statistically valid for a finite number of observations. I...
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Veröffentlicht in: | Proceedings of the National Academy of Sciences - PNAS 2024-04, Vol.121 (15), p.1-e2304671121 |
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