Cross Validation for Comparing Multiple Density Estimation Procedures

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dc.creatorLian, Heng
dc.date2007-08-01
dc.date.accessioned2026-07-07T12:13:12Z
dc.date.available2026-07-07T12:13:12Z
dc.descriptionWe 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 (1993). The result is complementary to that of Yang (2005) and Yang (2006).
dc.identifierhttps://arxiv.org/abs/0708.0061
dc.identifierhttp://arxiv.org/abs/0708.0061
dc.identifierStatistics & Probability Letters 79(1):112-115:2009
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/210765
dc.subjectStatistics Theory
dc.titleCross Validation for Comparing Multiple Density Estimation Procedures
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