Explicit connections between longitudinal data analysis and kernel machines

Pearce, ND; Wand, MP

Explicit connections between longitudinal data analysis and kernel machines

Pearce, ND Wand, MP

Permalink

Publication Type:: Journal Article
Citation:: Electronic Journal of Statistics, 2009, 3 pp. 797 - 823
Issue Date:: 2009-01-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download full textAdobe PDF (476.4 kB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Pearce, ND	en_US
dc.contributor.author	Wand, MP https://orcid.org/0000-0003-2555-896X	en_US
dc.date.issued	2009-01-01	en_US
dc.identifier.citation	Electronic Journal of Statistics, 2009, 3 pp. 797 - 823	en_US
dc.identifier.issn	1935-7524	en_US
dc.identifier.uri	http://hdl.handle.net/10453/13021
dc.description.abstract	Two areas of research – longitudinal data analysis and kernel machines – have large, but mostly distinct, literatures. This article shows explicitly that both fields have much in common with each other. In particular, many popular longitudinal data fitting procedures are special types of kernel machines. These connections have the potential to provide fruitful cross-fertilization between longitudinal data analytic and kernel machine methodology. © 2009, Institute of Mathematical Statistics. All rights reserved.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP0877055
dc.relation.ispartof	Electronic Journal of Statistics	en_US
dc.relation.isbasedon	10.1214/09-EJS428	en_US
dc.title	Explicit connections between longitudinal data analysis and kernel machines	en_US
dc.type	Journal Article
utslib.citation.volume	3	en_US
utslib.for	0104 Statistics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	3	en_US

Abstract:

Two areas of research – longitudinal data analysis and kernel machines – have large, but mostly distinct, literatures. This article shows explicitly that both fields have much in common with each other. In particular, many popular longitudinal data fitting procedures are special types of kernel machines. These connections have the potential to provide fruitful cross-fertilization between longitudinal data analytic and kernel machine methodology. © 2009, Institute of Mathematical Statistics. All rights reserved.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/13021