Covers examples of probability, including Bayes Theorem, independence, and conditional probability.
Introduces key concepts in probability and statistics, illustrating their application through various examples and emphasizing the importance of mathematical language in understanding the universe.
Covers the essentials of probability, algebras, and conditional probability, including the Borel o-algebra and Poisson processes.
Explores the Law of Total Probability and its applications in real-world scenarios, introducing key concepts in probability theory.
Explores conditional probability, the law of total probability, Bayes' theorem, and prediction decomposition.
