Insurance Risk Modeling

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Related lectures (29)

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Probability and Statistics

Covers probability, statistics, independence, covariance, correlation, and random variables.

Probability and Statistics

Delves into probability, statistics, paradoxes, and random variables, showcasing their real-world applications and properties.

Continuous Random Variables

Explores continuous random variables, density functions, joint variables, independence, and conditional densities.

Stochastic Models for Communications

Explores stochastic models for communications, covering mean, variance, characteristic functions, inequalities, various discrete and continuous random variables, and properties of different distributions.

Probability Theory: Midterm Solutions

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

Multinomial Distribution

Covers the multinomial distribution, joint density, marginal distribution, and conditional distribution.

Probability and Statistics: Fundamental Theorems

Explores fundamental theorems in probability and statistics, joint probability laws, and marginal distributions.

Probability and Statistics

Explores joint random variables, conditional density, and independence in probability and statistics.

Probability Distributions: Basics and Properties

Covers the basics of probability distributions, including mean, variance, and properties of random variables.

Probability Distributions

Covers various probability distributions and their applications in real-world scenarios.