MeddeR

MeddeR: Maximum Entropy Deregularized Density Estimation in R. Quasi-Concave Density Estimation: Maximum likelihood estimation of a log-concave probability density is formulated as a convex optimization problem and shown to have an equivalent dual formulation as a constrained maximum Shannon entropy problem. Closely related maximum Renyi entropy estimators that impose weaker concavity restrictions on the fitted density are also considered, notably a minimum Hellinger discrepancy estimator that constrains the reciprocal of the square-root of the density to be concave. A limiting form of these estimators constrains solutions to the class of quasi-concave densities.

References in zbMATH (referenced in 1 article )

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  1. Koenker, Roger; Mizera, Ivan: Shape constrained density estimation via penalized Rényi divergence (2018)