Explores random variables, sigma algebras, independence, and shift-invariant measures, emphasizing cylinder sets and algebras.
Covers the essentials of probability, algebras, and conditional probability, including the Borel o-algebra and Poisson processes.
Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
