Rates of convergence of an adaptive kernel density estimator for finite mixture models

DOI10.1016/j.spl.2005.07.016zbMath1085.62054OpenAlexW1996229348MaRDI QIDQ2489795

Rohana J. Karunamuni, Jingjing Wu, T. N. Sriram

Publication date: 28 April 2006

Published in: Statistics \& Probability Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.spl.2005.07.016

zbMATH Keywords

Mean squared errorAdaptive kernel density estimatorMinimum Hellinger distance estimation

Mathematics Subject Classification ID

Asymptotic properties of parametric estimators (62F12) Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20)

Related Items (3)

One-step minimum Hellinger distance estimation ⋮ Rates of convergence of an adaptive kernel density estimator for finite mixture models ⋮ Asymptotic normality of an adaptive kernel density estimator for finite mixture models

Cites Work

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• Variable kernel density estimation
• Minimum Hellinger distance estimates for parametric models
• Empirical Bayes estimation in Lebesgue-exponential families with rates near the best possible rate
• Minimum Hellinger distance estimation of mixture proportions
• Rates of convergence of an adaptive kernel density estimator for finite mixture models
• Minimum Hellinger Distance Estimation for Multivariate Location and Covariance
• Minimum Hellinger Distance Estimation for Finite Mixture Models
• Robust Statistics

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