Skip to main content

Research Repository

Advanced Search

Multivariate regression smoothing through the 'fallling net'

Taylor, James; Einbeck, Jochen

Multivariate regression smoothing through the 'fallling net' Thumbnail


Authors

James Taylor



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





You might also like



Downloadable Citations