Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Covers random vectors, joint probability density, independent random variables, functions of two random variables, and Gaussian random variables.
Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.
Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.
