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Making a Non-Parametric Density Estimator More Attractive, and More Accurate, by Data Perturbation

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Publication:5378362
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DOI10.1111/rssb.12120zbMath1414.62121OpenAlexW1917866554MaRDI QIDQ5378362

Hassan Doosti, Hall, Peter

Publication date: 12 June 2019

Published in: Journal of the Royal Statistical Society Series B: Statistical Methodology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/rssb.12120

zbMATH Keywords

rate of convergencedata sharpeningdata perturbationtilted estimatorsflat top kernelsnon-parametric density function estimation


Mathematics Subject Classification ID

Density estimation (62G07)


Related Items

Nonparametric tilted density function estimation: a cross-validation criterion, Data sharpening for improving central limit theorem approximations for data envelopment analysis-type efficiency estimators, Data sharpening via Firth's adjusted score function, Bayesian shape-constrained density estimation



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