Lectures related to Advanced Probability: Probability Concepts and Applications

Random Variables and Expected Value

Introduces random variables, probability distributions, and expected values through practical examples.

Probability: Quiz

Covers probability scenarios and includes a quiz using Kahoot.

Conditional Probability: Prediction Decomposition

Explores conditional probability, Bayes' theorem, and prediction decomposition for informed decision-making.

Normal Distribution: Properties and Calculations

Covers the normal distribution, including its properties and calculations.

Probability and Statistics: Independence and Conditional Probability

Explores independence and conditional probability in probability and statistics, with examples illustrating the concepts and practical applications.

Risk and Risk Premium

Explores risk evaluation, equivalent value, and insurance premium in lotteries, as well as discount rate adjustments.

Probability and Statistics: Fundamentals

Covers the fundamental concepts of probability and statistics, including interesting results, standard model, image processing, probability spaces, and statistical testing.

Introduction to Convexity

Introduces the key concepts of convexity and its applications in different fields.