THE FAMILY OF CONDITIONAL PENALIZED METHODS WITH THEIR APPLICATION IN SUFFICIENT VARIABLE SELECTION

THE FAMILY OF CONDITIONAL PENALIZED METHODS WITH THEIR APPLICATION IN SUFFICIENT VARIABLE SELECTION

When scientists know in advance that some features (variables) are important in modeling a data, then these important features should be kept in the model. How can we utilize this prior information to effectively find other important features? This dissertation is to provide a solution, using such p...

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Bibliographic Details
Main Author: Xie, Jin
Format: Others
Published: UKnowledge 2018
Subjects:
Generalized Conditional Adaptive Lasso
High-dimensional Data
Variable Screening
Variable Selection
Applied Statistics
Statistical Methodology
Statistical Models
Statistical Theory
Online Access:https://uknowledge.uky.edu/statistics_etds/35
https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1041&context=statistics_etds

Internet

https://uknowledge.uky.edu/statistics_etds/35
https://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1041&context=statistics_etds

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