Keywords
Lasso, coordinate descent, elastic net, smooth lasso, sparsity, collinearity, high dimensional data, variable selection
Abstract
For a linear regression, the traditional technique deals with a case where the number of observations n more than the number of predictor variables p (n>p). In the case n
Notes
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Graduation Date
2013
Semester
Fall
Advisor
Maboudou, Edgard
Degree
Master of Science (M.S.)
College
College of Sciences
Department
Statistics
Degree Program
Statistical Computing
Format
application/pdf
Identifier
CFE0005031
URL
http://purl.fcla.edu/fcla/etd/CFE0005031
Language
English
Release Date
December 2013
Length of Campus-only Access
None
Access Status
Masters Thesis (Open Access)
Subjects
Dissertations, Academic -- Sciences, Sciences -- Dissertations, Academic
STARS Citation
Mahmood, Nozad, "Sparse Ridge Fusion For Linear Regression" (2013). Electronic Theses and Dissertations. 2767.
https://stars.library.ucf.edu/etd/2767