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Calibrating nonconvex penalized regression in ultra-high dimension
Lan Wang, Yongdai Kim,
Runze Li
Statistics
Department of Public Health Sciences
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
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Contribution to journal
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Article
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peer-review
129
Scopus citations
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Dive into the research topics of 'Calibrating nonconvex penalized regression in ultra-high dimension'. Together they form a unique fingerprint.
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Mathematics
Higher Dimensions
100%
Local Minimum
100%
Gaussian Distribution
50%
Open Problem
50%
Probability Theory
50%
Monte Carlo Study
50%
Covariate
50%
Dimensional Data
50%
Asymptotic Theory
50%
Random Error
50%
Exponential Rate
50%
Keyphrases
Penalized Regression
100%
High-dimensional BIC
40%
Optimal Tuning
40%
Nonconvex Penalty
20%
Sub-Gaussian Distribution
20%
High-dimensional Data Analysis
20%
Sparsity Pattern
20%
BIC Criterion
20%