
Master fundamental statistical concepts including Central Limit Theorem, estimation methods, bias analysis, and statistical efficiency principles for robust data analysis and interpretation.

Master essential probability and statistics concepts, from basic probability and random variables to hypothesis testing and confidence intervals in this comprehensive semester review.

Explore weak limits for entropic optimal transport, covering parametric cases, duality, proofs, and connections to improved CLT and convex optimization.

Delve into advanced mathematical concepts exploring lattice point counting in ellipsoids, error bounds, and their connection to probability theory's central limit theorem.