Maximum likelihood estimates via duality for log-convex models when cell probabilities are subject to convex constraints

DOI10.1214/aos/1024691361zbMath0929.62029OpenAlexW2032916603MaRDI QIDQ1807148

Hammou El Barmi, Richard L. Dykstra

Publication date: 9 November 1999

Published in: The Annals of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1214/aos/1024691361

zbMATH Keywords

iterative algorithmdualitymaximum likelihoodconvex constraintsmultinomialI-projectionconvex oneslog-convex constraints

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Parametric inference under constraints (62F30)

Related Items

Bayes discriminant rules with ordered predictors, Testing for or against a trend in odds ratios, Nonparametric estimation of convex models via mixtures, Maximum likelihood estimation via duality for cell probabilities subject to convex and log-convex constraints, An alternating iterative method and its application in statistical inference, A cyclic algorithm for maximum likelihood estimation using Schur complement, Profile-Likelihood Inference for Highly Accurate Diagnostic Tests, A note on multinomial maximum likelihood estimation under ordered restrictions and the EM algorithm, The analysis of contingency tables under inequality constraints

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