Akaike's information criterion and Kullback-Leibler loss for histogram density estimation

Peter Hall

Type: Article

Publication Date: 1990-12-01

Citations: 42

DOI: https://doi.org/10.1007/bf01203164

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Probability Theory and Related Fields - View - PDF

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+	Hellinger distance and Kullback—Leibler loss for the kernel density estimator	1993	Yuichiro Kanazawa
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Works Cited by This (13)

Action	Title	Year	Authors
+	On optimal and data-based histograms	1979	David W. Scott
+ PDF Chat	An Asymptotically Efficient Solution to the Bandwidth Problem of Kernel Density Estimation	1985	J. S. Marron
+ PDF Chat	Consistent Cross-Validated Density Estimation	1983	Y. S. Chow Stuart Geman Lili Wu
+	On the use of compactly supported density estimates in problems of discrimination	1987	Peter Hall
+	On the Choice of Smoothing Parameters for Parzen Estimators of Probability Density Functions	1976	Duin
+ PDF Chat	On the histogram as a density estimator:L 2 theory	1981	David A. Freedman Persi Diaconis
+	Akaike's information criterion and the histogram	1987	Charles Taylor
+	Information Theory and an Extension of the Maximum Likelihood Principle	1998	H. Akaike
+	A comparative study of some kernel-based nonparametric density estimators	1985	Adrian Bowman
+ PDF Chat	On Kullback-Leibler Loss and Density Estimation	1987	Peter Hall