On two recent papers of Y. Kanazawa

DOI10.1016/0167-7152(94)00183-9zbMath0835.62047OpenAlexW1993956142MaRDI QIDQ1903153

M. C. Jones

Publication date: 21 April 1996

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

Full work available at URL: https://doi.org/10.1016/0167-7152(94)00183-9

zbMATH Keywords

Hellinger distanceAkaike information criterionkernel density estimatorshistogramsKullback-Leibler lossrisk functionsmeasure of discrepancyweighted integrated squared errorasymptotic equivalencesequivalences between loss functions

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Nonparametric estimation (62G05)

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Cites Work

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• Hellinger distance and Akaike's information criterion for the histogram
• On near neighbour estimates of a multivariate density
• An asymptotically efficient solution to the bandwidth problem of kernel density estimation
• Estimation of heteroscedasticity in regression analysis
• On Kullback-Leibler loss and density estimation
• Minimum Hellinger distance estimates for parametric models
• Hellinger distance and Kullback-Leibler loss for the kernel density estimator
• Progress in data-based bandwidth selection for kernel density estimation
• Visual Error Criteria for Qualitative Smoothing