Lecture

Copulas: Dependence Modeling

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Introduces key statistical concepts like probability, random variables, and correlation, with examples and explanations.

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Covers copulas, Sklar's Theorem, meta distributions, and various dependence measures like rank correlations and coefficients of tail dependence.

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Covers copulas, dependence structures, simulation techniques, and properties of copula densities.

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