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Showing 1 to 2 of 2 for “"SCAD penalty"”.
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Variable selection for high-dimensional complex data
… We show that the proposed method with the Lasso penalty and the SCAD penalty enjoys strong sign consistency in both finite-dimensional and high-dimensional settings under regularity conditions. Numerical studies and the ‘HapMap’ gene data application also confirm that the proposed method …
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Mixed Effects Modeling and Correlation Structure Selection for High Dimensional Correlated Data
Longitudinal data arise frequently in many studies where measurements are obtained from a subject repeatedly over time. Consequently, measurements within a subject are correlated. We address two rather important but challenging issues in this thesis: mixed-effect modeling with unspecified random …