Estimating R: Convergence of Random Variables

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

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

Law of Large Numbers: Strong Convergence

Explores the strong convergence of random variables and the normal distribution approximation in probability and statistics.

Probability and Statistics: Fundamentals

Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.

Statistical Theory: Fundamentals

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