Constrained nonparametric maximum-likelihood estimation for mixture models

DOI10.2307/3315720zbMath1066.62520OpenAlexW2071483992MaRDI QIDQ4243788

Edward Susko, Jiahua Chen, John D. Kalbfleisch

Publication date: 1998

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2307/3315720

zbMATH Keywords

mixture modelconstrained estimationstatistical computingISDM

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

Related Items

The constrained Fisher scoring method for maximum likelihood computation of a nonparametric mixing distribution, The likelihood ratio test for homogeneity in finite mixture models, Constrained estimation and likelihood intervals for censored data, An exponential partial prior for improving nonparametric maximum likelihood estimation in mixture models, Nonignorable Models for Intermittently Missing Categorical Longitudinal Responses, A linearization procedure and a VDM/ECM algorithm for penalized and constrained nonparametric maximum likelihood estimation for mixture models

Cites Work

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• An Algorithm for Computing the Nonparametric MLE of a Mixing Distribution
• Nonparametric Maximum Likelihood Estimation of a Mixing Distribution