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One-step sparse estimates in nonconcave penalized likelihood models
Hui Zou
, Runze Li
Statistics (Twin Cities)
Research output
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Contribution to journal
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Article
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peer-review
816
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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Keyphrases
Approximate Estimation
11%
Approximation Algorithms
33%
Computational Cost
11%
Concave Penalty
22%
Estimation Method
22%
Finite Sample Performance
11%
Initial Estimator
11%
Local Linear Approximation
100%
Monte Carlo Simulation
11%
Nonconcave
11%
Nonconcave Penalized Likelihood
100%
Oracle Property
22%
Penalized Likelihood
100%
Regularization Parameter
11%
Sparse Estimation
11%
Sparse Representation
11%
Theoretical Properties
11%
Unified Algorithm
11%
Variable Selection Methods
11%
Mathematics
Computational Cost
11%
Estimation Method
22%
Final Estimate
11%
Likelihood Estimator
11%
Likelihood Function
11%
Linear Approximation
100%
Model Likelihood
100%
Monte Carlo
11%
Objective Function
11%
Regularization
11%