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Archive for the ‘Probability and Statistics’ Category

Yann OLLIVIER gave a talk on his interpretation of Ricci curvature which sheds much light on this classical notion and allows its generalization, e.g., to discrete spaces. He is interested in the rôle played by positive Ricci curvature in the concentration of the measure phenomenon discovered by Gromov in his generalization of Lévy’s theorem on [...]

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The cumulative distribution function of a random variable is: . The copula of is such that: where , resp. , is the distribution function of , resp. . It is unique if each variable is continuous (atomless law). Theorem (Sklar). A function is the copula of some random variable with values in if and only [...]

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