Learning

Multivariate Distributions and Properties

Probability Spaces and Random Variables → Applications in Statistical Inference

This learning path provides a systematic, graduate-level introduction to multivariate distributions, focusing on joint, marginal, and conditional distributions. It builds from foundational probability theory through to the multivariate normal distribution and its properties, including derived distributions and applications.