Multi-output nonparametric regression

Authors:
José M. Matías
Affiliations:
Dpto. de Estadística, Universidad de Vigo, Vigo, Spain
Venue:
EPIA'05 Proceedings of the 12th Portuguese conference on Progress in Artificial Intelligence
Year:
2005

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Abstract

Several non-parametric regression methods with various dependent variables that are possibly related are explored. The techniques which produce the best results in the simulations are those which incorporate the observations of the other response variables in the estimator. Compared to analogous single-response techniques, this approach results in a significant reduction in the quadratic error in the response.