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- Title
Variable Selection in Linear Mixed Models Using an Extended Class of Penalties.
- Authors
Taylor, Julian D.; Verbyla, Arūnas P.; Cavanagh, Colin; Newberry, Marcus
- Abstract
There is an emerging need to advance linear mixed model technology to include variable selection methods that can simultaneously choose and estimate important effects from a potentially large number of covariates. However, the complex nature of variable selection has made it difficult for it to be incorporated into mixed models. In this paper we extend the well known class of
- Subjects
LINEAR statistical models; ESTIMATION theory; ANALYSIS of variance; MATHEMATICAL analysis; MATHEMATICAL variables; COMPUTATIONAL complexity
- Publication
Australian & New Zealand Journal of Statistics, 2012, Vol 54, Issue 4, p427
- ISSN
1369-1473
- Publication type
Article
- DOI
10.1111/j.1467-842X.2012.00687.x