Hypothesis TestingCovers hypothesis testing, Neyman-Pearson lemma, ROC curves, and optimal tests with examples and simulations.
Generalization BoundExplores the relationship between empirical risk minimization and generalization error in machine learning.
Statistics Essentials: The t-testIntroduces the t-test for assessing categorical effects on quantitative outcomes, covering hypothesis testing, assumptions, and alternative tests.