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 Download PDF (1077Kb) |
| Status: | Peer-reviewed |
| Publisher Web site: | http://www.statmod.org/workshops_archive_proceedings_2011.htm |
| Date accepted: | No date available |
| Date deposited: | 14 June 2013 |
| Date of first online publication: | 2011 |
| Date first made open access: | No date available |
Save or Share this output
| Export: | |
| Look up in GoogleScholar |
