Martingales and Extinction Probability

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (29)

Page 3 of 3

Covers moments, variance, and expected values in probability and statistics, including the distribution of tokens in a product.

Conditional Density and Expectation

Explores conditional density, expectations, and independence of random variables with practical examples.

Variance and Covariance: Properties and Examples

Explores variance, covariance, and practical applications in statistics and probability.

Understanding Statistics & Experimental Design

Emphasizes the critical importance of understanding statistics to avoid errors in research and decision-making, using motivating examples and practical exercises.

Central Limit Theorem: Properties and Applications

Explores the Central Limit Theorem, covariance, correlation, joint random variables, quantiles, and the law of large numbers.

Probability and Statistics

Covers Simpson's paradox, probability distributions, and real-life examples in probability and statistics.

Probability Theory: Independent Events

Explores independent events in probability theory and their applications in communication systems.

Probability Theory: Midterm Solutions

Covers the solutions to the midterm exam of a Probability Theory course, including calculations of probabilities and expectations.

Elements of Statistics: Probability and Random Variables

Introduces key concepts in probability and random variables, covering statistics, distributions, and covariance.