Open Access
2009 Explicit connections between longitudinal data analysis and kernel machines
N.D. Pearce, M.P. Wand
Electron. J. Statist. 3: 797-823 (2009). DOI: 10.1214/09-EJS428

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.

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N.D. Pearce. M.P. Wand. "Explicit connections between longitudinal data analysis and kernel machines." Electron. J. Statist. 3 797 - 823, 2009. https://doi.org/10.1214/09-EJS428

Information

Published: 2009
First available in Project Euclid: 12 August 2009

zbMATH: 1326.62140
MathSciNet: MR2534202
Digital Object Identifier: 10.1214/09-EJS428

Keywords: best linear unbiased prediction , ‎classification‎ , generalized linear mixed models , linear mixed models , machine learning , penalized likelihood , reproducing kernel Hilbert spaces , Support vector machines

Rights: Copyright © 2009 The Institute of Mathematical Statistics and the Bernoulli Society

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