Function of a Random Variable

Related lectures (31)

Page 3 of 4

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

Explores modes of convergence in probability and statistics, illustrating concepts with examples and discussing the continuity theorem.

Covers conditional density, independence of random variables, expectation, and variance calculation.

Explores probability distributions for random variables in air pollution and climate change studies, covering descriptive and inferential statistics.

Explores advanced probabilities, random variables, and expected values, with practical examples and quizzes to reinforce learning.

Explores discrete and continuous random variables, independence, and probability functions.

Covers random vectors, joint probability, and conditional probability in communication stochastic models.

Explores convergence in distribution of random variables and characteristic functions.

Explores continuous random variables, density functions, and distribution laws with practical examples.

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