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[PS05b] Clusterwise PLS regression on a stochastic process

Revue Internationale avec comité de lecture : Journal Computational Statistics & Data Analysis, vol. 49(1), pp. 99-108, 2005
motcle:
Résumé: The clusterwise linear regression is studied when the set of predictor variables forms a L2-continuous stochastic process. For each cluster the estimators of the regression coefficients are given by partial least square regression. The number of clusters is treated as unknown and the convergence of the clusterwise algorithm is discussed. The approach is compared with other methods via an application on stock-exchange data.

BibTeX

@article {
PS05b,
title="{Clusterwise PLS regression on a stochastic process}",
author="C. Preda and G. Saporta",
journal="Computational Statistics & Data Analysis",
year=2005,
volume=49,
number=1,
pages="99-108",
}