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.
Explores maximum likelihood inference, comparing models based on likelihood ratios and demonstrating with a coin example.
Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.
