Probability Measures and Random Variables

Related lectures (30)

Page 2 of 3

Covers z Variable as a Delay Operator, realizable systems, probability theory, stochastic processes, and Hilbert Spaces.

Covers fundamental concepts in probability and statistics, including distributions, properties, and expectations of random variables.

Covers random variables, probability functions, expectations, variances, and joint distributions.

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

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

Explores moment-generating functions, linear combinations, and normality of random variables.

Covers the calculation of expectation and variance for different types of random variables, including discrete and continuous ones.

Explores continuous random variables and their properties, including support and cumulative distribution functions.

Explores different modes of convergence for random variables.

Covers properties and transformations of discrete random variables, focusing on PMF and expectation.