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.
Covers fundamental concepts in probability and statistics, emphasizing data analysis techniques and statistical modeling.
Explores dependence, correlation, and conditional expectations in probability and statistics, highlighting their significance and limitations.
Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.
