Density estimation and nonparametric inferences using maximum likelihood weighted kernels

DOI10.1080/10485252.2013.797090zbMath1416.62198OpenAlexW2010858793MaRDI QIDQ2863035

Alan Huang

Publication date: 21 November 2013

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

Full work available at URL: https://doi.org/10.1080/10485252.2013.797090

zbMATH Keywords

likelihood ratio testkernel density estimationempirical likelihood

Mathematics Subject Classification ID

Density estimation (62G07)

Cites Work

• Unnamed Item
• Nonparametric maximum likelihood estimation by the method of sieves
• Exact mean integrated squared error
• Reducing bias in curve estimation by use of weights.
• Smoothed empirical likelihood confidence intervals for quantiles
• Semiparametric theory and missing data.
• Semiparametric inference with kernel likelihood
• Boosting kernel density estimates: A bias reduction technique?
• The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses
• Semiparametric mixtures in case-control studies

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