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Variable selection in high-dimensional varying-coefficient models with global optimality
Lan Xue, Annie Qu
Statistics
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Dive into the research topics of 'Variable selection in high-dimensional varying-coefficient models with global optimality'. Together they form a unique fingerprint.
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Keyphrases
Global Optimality
100%
Varying Coefficient
100%
Varying Coefficient Model
100%
Least Absolute Shrinkage and Selection Operator (LASSO)
66%
Difference of Convex Functions
66%
High-dimensional Setting
66%
Numerical Examples
33%
Optimal Convergence Rate
33%
Nonparametric
33%
Optimality Properties
33%
Dynamic Change
33%
Regression Coefficient
33%
Simulation Example
33%
Selection Problem
33%
High-dimensional Data
33%
Response Variable
33%
Model Selection
33%
True Model
33%
Nonparametric Component
33%
L0 Penalty
33%
Coordinate Decent
33%
Oracle Property
33%
Smoothly Clipped Absolute Deviation
33%
Mathematics
Optimality
100%
Covariate
100%
Lasso Regression
66%
Approximates
33%
Convergence Rate
33%
Numerical Example
33%
Model Selection
33%
Convex Programming
33%
Dimensional Data
33%
True Model
33%
Response Variable
33%
Regression Coefficient
33%