Explores the Law of Total Probability and its applications in real-world scenarios, introducing key concepts in probability theory.
Covers the essentials of probability, algebras, and conditional probability, including the Borel o-algebra and Poisson processes.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Covers fundamental concepts in probability and statistics, including the law of total probability, Bayes' theorem, and independence of events.
