Cross-validation for comparing multiple density estimation procedures
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review
Author(s)
Detail(s)
Original language | English |
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Pages (from-to) | 112-115 |
Journal / Publication | Statistics and Probability Letters |
Volume | 79 |
Issue number | 1 |
Publication status | Published - 1 Jan 2009 |
Externally published | Yes |
Link(s)
Abstract
We demonstrate the consistency of cross-validation for comparing multiple density estimators using simple inequalities on the likelihood ratio. In nonparametric problems, the splitting of data does not require the domination of test data over the training/estimation data, contrary to Shao [Shao, J., 1993. Linear model selection by cross-validation. J. Amer. Statist. Assoc. 88, 486-494]. The result is complementary to that of Yang [Yang, Y., 2007. Consistency of cross-validation for comparing regression procedures, Ann. Statist. 35, 2450-2473; Yang, Y., 2006. Comparing learning methods for classification. Statist. Sinica 16, 635-657]. © 2008 Elsevier B.V. All rights reserved.
Citation Format(s)
Cross-validation for comparing multiple density estimation procedures. / Lian, Heng.
In: Statistics and Probability Letters, Vol. 79, No. 1, 01.01.2009, p. 112-115.
In: Statistics and Probability Letters, Vol. 79, No. 1, 01.01.2009, p. 112-115.
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › peer-review