Permutation methods provide flexible, distribution-free approaches to statistical inference by rearranging data labels to generate an empirical null distribution for a test statistic. Historically ...
Detecting correlation changes in multivariate time series is relevant across a wide spectrum of fields 1,2,3,4. Take for instance an important biomedical data processing problem, the detection of ...
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 ...
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