Skip to main navigation
Skip to search
Skip to main content
Experts@Minnesota Home
Home
Profiles
Research units
University Assets
Projects and Grants
Research output
Press/Media
Datasets
Activities
Fellowships, Honors, and Prizes
Search by expertise, name or affiliation
Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models
Hui Zou
, Runze Li
Statistics (Twin Cities)
Research output
:
Contribution to journal
›
Review article
›
peer-review
30
Scopus citations
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Rejoinder: One-step sparse estimates in nonconcave penalized likelihood models'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Penalized Likelihood
100%
Estimate
36%
Model
26%