Quantile function

Related lectures (32)

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

Explores copulas in multivariate statistics, covering properties, fallacies, and applications in modeling dependence structures.

Explains quantiles, functions of random variables, conditional densities, and variable transformations.

Explores the reflection principle in martingales and Brownian motion, simplifying probability calculations.

Covers the estimation of random variables, including expectations, variances, and quantiles.

Covers properties and transformations of discrete random variables, focusing on PMF and expectation.

Explores random variables, expectation, and independence in probability theory.

Covers statistical estimation methods and explores practical examples of parameter estimation for different distributions.

Covers p-quantile, normal approximation, joint distributions, and exponential families in probability and statistics.

Explores the Extreme Value Theory and the impact of local dependence on extreme values.