Lectures related to Generalization Error

Explores joint random variables, conditional density, and independence in probability and statistics.

Covers the transformations of joint continuous densities and their implications on probability distributions.

Explores uniform integrability, convergence theorems, and the importance of bounded sequences in understanding the convergence of random variables.

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Explores variational formulation for measuring information content and divergence between probability distributions.