Original paper
Time‐varying feature selection for longitudinal analysis
Abstract
We propose time‐varying coefficient model selection and estimation based on the spline approach, which is capable of capturing time‐dependent covariate effects. The new penalty function utilizes local‐region information for varying‐coefficient estimation, in contrast to the traditional model selection approach focusing on the entire region. The proposed method is extremely useful when the signals associated with relevant predictors are...
Paper Details
Title
Time‐varying feature selection for longitudinal analysis
Published Date
Nov 23, 2019
Journal
Volume
39
Issue
2
Pages
156 - 170
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Notes
History