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Cross-Validation and the Estimation of Conditional...
Journal article

Cross-Validation and the Estimation of Conditional Probability Densities

Abstract

Many practical problems, especially some connected with forecasting, require nonparametric estimation of conditional densities from mixed data. For example, given an explanatory data vector X for a prospective customer, with components that could include the customer's salary, occupation, age, sex, marital status, and address, a company might wish to estimate the density of the expenditure, Y, that could be made by that person, basing the …

Authors

Hall P; Racine J; Li Q

Journal

Journal of the American Statistical Association, Vol. 99, No. 468, pp. 1015–1026

Publisher

Taylor & Francis

Publication Date

December 2004

DOI

10.1198/016214504000000548

ISSN

0162-1459