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One-step sparse estimates in nonconcave penalized likelihood models
Hui Zou
, Runze Li
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Article
›
peer-review
792
Scopus citations
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Dive into the research topics of 'One-step sparse estimates in nonconcave penalized likelihood models'. Together they form a unique fingerprint.
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Mathematics
Penalized Likelihood
100%
Local Approximation
96%
Linear Approximation
88%
Estimate
36%
Linear Algorithm
33%
Model
26%
Approximation Algorithms
23%
Oracle Property
22%
Estimator
21%
Concave function
20%
Penalty Function
19%
Sparse Representation
12%
Selection of Variables
11%
Regularization Parameter
9%
Computational Cost
9%
Likelihood Function
8%
Monte Carlo Simulation
7%
Objective function
7%
Performance
5%
Family
4%
Class
2%
Business & Economics
Approximation
43%
Approximation Algorithms
32%
Estimator
28%
Penalty Function
24%
Estimation Method
17%
Variable Selection
16%
Monte Carlo Simulation
13%
Regularization
11%
Finite Sample
9%
Objective Function
8%
Performance
3%
Costs
3%