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Correlating two matrices $A,B$ with stochastic dependency structure imposed by cross-validation

Consider a labelled data set $$D = \{(x_1, y_1),...,(x_n, y_n)\} $$ on which we want to evaluate a machine learning algorithm using $k$-fold cross validation with $m$ different random seeds. This ...
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sufficient statistics that are irrelevant

I'm designing a lecture on hypothesis testing and want to do an example on a certain matter, but I cannot come up with a good one. If we should decide upon $H_0$ or $H_1$ given observed data sets ${\...
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