James Taylor
Multivariate regression smoothing through the 'fallling net'
Taylor, James; Einbeck, Jochen
Authors
Professor Jochen Einbeck jochen.einbeck@durham.ac.uk
Professor
Contributors
David Conesa
Editor
Anabel Forte
Editor
Antonio Lopez-Quilez
Editor
Facundo Munoz
Editor
Abstract
We consider multivariate regression smoothing through a conditional mean shift procedure. By computing local conditional means iteratively over a set or grid of target points, at each iteration a `net' is formed which gently drifts towards the data cloud, until it settles at the conditional modes of the response distribution. The method is edge-preserving and allows for multi-valued response.
Citation
Taylor, J., & Einbeck, J. (2011). Multivariate regression smoothing through the 'fallling net'. In D. Conesa, A. Forte, A. Lopez-Quilez, & F. Munoz (Eds.), 26th International Workshop on Statistical Modelling, 5-11 July 2011, Valencia, Spain ; proceedings (597-602)
Conference Name | 26th international workshop on statistical modelling. |
---|---|
Conference Location | Valencia |
Publication Date | Jul 11, 2011 |
Deposit Date | Aug 23, 2011 |
Publicly Available Date | Mar 28, 2024 |
Pages | 597-602 |
Book Title | 26th International Workshop on Statistical Modelling, 5-11 July 2011, Valencia, Spain ; proceedings. |
Keywords | Conditional density, Modal regression, Smoothing. |
Public URL | https://durham-repository.worktribe.com/output/1157737 |
Publisher URL | http://www.statmod.org/workshops_archive_proceedings_2011.htm |
Files
Accepted Conference Proceeding
(1.1 Mb)
PDF
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