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Cross-validation for densities and regressionsVirtually all nonparametric (infinite dimensional) problems require the choice of a smoothing parameter. It is natural to attempt to use the data to guide the choice of this parameter. The most widely applicable data driven technique is cross validation. The method of cross validation is introduced and results are presented which establish consistency for certain cross validated density estimators and consistency as well as asymptotic normality for rigid regression.
Document ID
19830007505
Acquisition Source
Legacy CDMS
Document Type
Conference Paper
Authors
Geman, S. (Brown Univ. Providence, RI, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1982
Publication Information
Publication: Texas A and M Univ. Proc. of the NASA Workshop on Density Estimation and Function Smoothing
Subject Category
Earth Resources And Remote Sensing
Accession Number
83N15776
Funding Number(s)
CONTRACT_GRANT: AF-AFOSR-3514-78
CONTRACT_GRANT: DAAG29-80-K-0006
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.

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IDRelationTitle19830007503Collected WorksProceedings of the NASA Workshop on Density Estimation and Function Smoothing
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