PROBABILITY

Catalog description

Formal structure of a probability model Combinatorial analysis. Discrete and continuous random variables. Law of large numbers. Conditional probability, stochastic independence. Bernoulli, binomial, poisson, uniform, exponential and normal distributions and their applications. Multivariate distributions. Stochastic processes and Markov chains. Applications.