Contents: Fundamentals of probability; Probability and probability measures; Zero-probability events; Conditional probability; Independent events; Random variables and univariate probability distributions; Random vectors and multivariate probability distribution; Expected value; Expected value and the Lebesgue integral; Variance; Covariance
Covariance matrix; Indicator functions;
Conditional probability as a random variable; Conditional probability distributions. |