Generalized Linear ModelsCovers probability, random variables, expectation, GLMs, hypothesis testing, and Bayesian statistics with practical examples.
Independence and CovarianceExplores independence and covariance between random variables, discussing their implications and calculation methods.
Probability ReviewIntroduces subgaussian and subexponential random variables, conditional expectation, and Orlicz norms.
Martingales: More TheoryExplores the theory of martingales, including conditional expectations, Chernoff bounds, and Azuma's inequality.
