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Multivariate regression smoothing through the 'fallling net'.

Taylor, James and Einbeck, Jochen (2011) 'Multivariate regression smoothing through the 'fallling net'.', in 26th International Workshop on Statistical Modelling, 5-11 July 2011, Valencia, Spain ; proceedings. Amsterdam: Statistical Modelling Society, pp. 597-602.

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.

Item Type:Book chapter
Keywords:Conditional density, Modal regression, Smoothing.
Full text:(AM) Accepted Manuscript
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Status:Peer-reviewed
Publisher Web site:http://www.statmod.org/workshops_archive_proceedings_2011.htm
Record Created:12 Jun 2013 10:20
Last Modified:06 Oct 2014 11:38

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