Hellinger distance and Kullback-Leibler loss for the kernel density estimator
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Publication:1314730
DOI10.1016/0167-7152(93)90022-BzbMath0789.62029MaRDI QIDQ1314730
Publication date: 19 June 1994
Published in: Statistics \& Probability Letters (Search for Journal in Brave)
histogramkernel density estimatorAkaike's information criterioncompactly supported densitieslikelihood cross-validationoptimal window widthexpected Kullback-Leibler lossmean-Hellinger distance
Related Items (6)
β-divergence loss for the kernel density estimation with bias reduced ⋮ On Variance-Stabilizing Multivariate Non Parametric Regression Estimation ⋮ On two recent papers of Y. Kanazawa ⋮ A general and fast convergent bandwidth selection method of kernel estimator ⋮ Weighted Hellinger distance as an error criterion for bandwidth selection in kernel estimation ⋮ \textsc{CaDET}: interpretable parametric conditional density estimation with decision trees and forests
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