Point Processes: Extreme Value Theory

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Explains how to calculate expectation values for random variables using examples like a dice game.

Explores the Central Limit Theorem and its statistical implications in random variables.

Introduces random variables, approximation, convergence, and Bernoulli trials in statistics.

Covers the basics of statistical theory, including probability models, random variables, and sampling distributions.

Explores Gaussian processes, covariance functions, intrinsic stationarity, and extreme applications in statistics.

Covers random variables, expectation, and distributions in probability spaces.

Explains joint random variables, marginal laws, and independence implications.

Explores statistical applications of threshold exceedances and GPD modeling in extreme value theory.

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