Lecture
This lecture covers the fundamentals of probability models, including random variables, probability density functions, cumulative distribution functions, and common distributions. It also delves into concepts like expectation, variance, covariance, and correlation. The lecture further explores the importance of sufficient statistics, maximum likelihood estimation, and linear models in statistics.