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This lecture covers the logistic and Dirichlet densities, exploring parametric models that satisfy mean constraints in higher dimensions. Examples include the logistic model for general D and the Hüsler-Reiss distribution. Asymmetric alternatives like the bilogistic model are also discussed, along with fitting methods for various models.