Lectures related to Extreme Value Theory: Applications and Estimation

Explores extremal limit theorems, statistical analysis, and asymptotic independence models for rare events.

Covers the estimation of R, including the continuity theorem and limit laws for random variables.

Covers error estimation in Latin Hypercube Sampling, emphasizing the importance of accurate variance estimation.

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

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