Variable selection using least angle regression

The least-angle regression (LARS) (Efrron, Hastie, Johnstone, and Tibshirani, 2004) is a technique used with the absence of data that consist of many independent variables. Suppose we expect a response variable to be determined by a linear combination of a subset of potential covariates. Then the LA...

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Bibliographic Details
Main Author: Wan Mohd. Rosly, Wan Nur Shaziayani
Format: Thesis
Language:English
Published: 2011
Subjects:
Online Access:http://eprints.utm.my/id/eprint/48703/25/WanNurShaziayaniMFS2011.pdf
http://eprints.utm.my/id/eprint/48703/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:83844
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Institution: Universiti Teknologi Malaysia
Language: English

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