Explores continuous random variables, density functions, joint variables, independence, and conditional densities.
Covers continuous random variables, probability density functions, and distributions, with practical examples.
Covers properties and transformations of discrete random variables, focusing on PMF and expectation.
Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.
Explores the Collisionless Boltzmann equation, distribution functions, Jeans theorems, resonances, chaotic orbits, and equilibria in stellar systems.
