Autocorrelated Logistic Ridge Regression for Prediction Based on Proteomics Spectra

This paper presents autocorrelated logistic ridge regression, an extension of logistic ridge regression for ordered covariates that is based on the assumption that adjacent covariates have similar regression coefficients. The method is applied to the analysis of proteomics mass spectra.

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Year of publication:	2008
Authors:	J, Goeman Jelle
Published in:	Statistical Applications in Genetics and Molecular Biology. - De Gruyter, ISSN 1544-6115. - Vol. 7.2008, 2, p. 1-12
Publisher:	De Gruyter

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Extent:	text/html
Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008460316