Dive into a comprehensive 2.5-hour video series on probability theory, covering fundamental concepts from introduction to advanced topics. Explore probability measures, discrete and continuous cases, and various distributions including binomial and hypergeometric. Learn about conditional probability, Bayes's Theorem, and the concept of independence for events and random variables. Delve into the properties of random variables, their distributions, and cumulative distribution functions. Conclude with an in-depth look at expectation and change-of-variables, providing a solid foundation in probability theory for mathematics enthusiasts and students alike.
Overview
Syllabus
Probability Theory - Part 1 - Introduction.
Probability Theory - Part 2 - Probability Measures.
Probability Theory - Part 3 - Discrete vs. Continuous Case.
Probability Theory - Part 4 - Binomial Distribution.
Probability Theory - Part 5 - Product Probability Spaces.
Probability Theory - Part 6 - Hypergeometric Distribution.
Probability Theory - Part 7 - Conditional Probability.
Probability Theory - Part 8 - Bayes's Theorem and Total Probability.
Probability Theory - Part 9 - Independence for Events.
Probability Theory - Part 10 - Random Variables.
Probability Theory - Part 11 - Distribution of a Random Variable.
Probability Theory - Part 12 - Cumulative Distribution Function.
Probability Theory - Part 13 - Independence for Random Variables.
Probability Theory - Part 14 - Expectation and Change-of-Variables.
Probability Theory - Part 15 - Properties of the Expectation.
Taught by
The Bright Side of Mathematics
