Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.
Explores Gaussian vectors, moment generating functions, independence, density functions, affine transformations, and quadratic forms.
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.
Covers continuous random variables, probability density functions, and distributions, with practical examples.
