Einbeck, Jochen and Evers, Ludger (2010) 'Localized regression on principal manifolds.', 25th International Workshop on Statistical Modelling. Glasgow, 5-9 July 2010.
Abstract
We consider nonparametric dimension reduction techniques for multivariate regression problems in which the variables constituting the predictor space are strongly nonlinearly related. Specifically, the predictor space is approximated via ``local'' principal manifolds, based on which a kernel regression is carried out.
| Item Type: | Conference item (Paper) |
|---|---|
| Keywords: | Smoothing, Principal curves and surfaces, Localized PCA. |
| Full text: | ["content_typename_presentation" not defined] Download PDF (225Kb) |
| Status: | Peer-reviewed |
| Publisher Web site: | http://www.statmod.org/ |
| Date accepted: | No date available |
| Date deposited: | No date available |
| Date of first online publication: | July 2010 |
| Date first made open access: | No date available |
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