Evaluating statistical trends in high-dimensional phenotypes poses challenges for comparative biologists, because the high-dimensionality of the trait data relative to the number of species can ...
Multivariate statistical inference encompasses methods that evaluate multiple outcomes or parameters jointly, allowing researchers to understand complex interdependencies within data. Permutation ...
When multiple hypotheses are tested, interest is often in ensuring that the proportion of false discoveries is small with high confidence. In this paper, confidence upper bounds for the false ...
The sixth day, Tuesday, featured sessions covering generative AI, descriptive statistics, and inferential methods, helping researchers enhance their statistical and analytical skills NOIDA: A 10-day ...
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