Degenerate distribution

Related lectures (32)

Page 3 of 4

Covers the Boolean Hidden Matching Problem and its applications to lower bounds.

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

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

Explains how to calculate expectation values for random variables using examples like a dice game.

Covers examples of cumulative distribution functions for continuous random variables and correlations between random variables.

Covers the basics of discrete probability, including notations, axioms, pmf, examples, expectation, variance, and indicator variables.

Explores hypothesis testing in statistics, focusing on decision-making based on sample data and controlling error probabilities.

Covers the definition of probability laws for random variables and examples of discrete and continuous variables.

Explains conditional expectation, conditioning events, probabilities calculation, and examples with dice and random variables.

Introduces the basics of conditional expectation, covering definitions, properties, and examples in the context of random variables.