Collisionless Boltzmann Equation

Related lectures (31)

Page 3 of 4

Explores the bijection between distribution functions and moment generating functions.

Explores generating functions, Laplace transform, and their role in probability distributions.

Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Explores the evolution of the distribution function describing particles in phase space.

Covers random vectors, joint distribution, conditional density functions, independence, covariance, correlation, and conditional expectation.

Explores the reflection principle in martingales and Brownian motion, simplifying probability calculations.

Covers the fundamentals of probability theory, including conditional probability, Bayes' rule, and random variables.

Introduces the basics of probability models, covering random variables, distributions, and statistical estimation.

Explains quantiles, functions of random variables, conditional densities, and variable transformations.