Regression Shrinkage and Selection via The Lasso: A Retrospective

Stanford University

Indexed incrossref

Abstract

Summary In the paper I give a brief review of the basic idea and some history and then discuss some developments since the original paper on regression shrinkage and selection via the lasso.

Citation impact

3,653
total citations
FWCI
175.28
Percentile
100%
References
91
Citations per year

Authors

1

Topics & keywords

Keywords
  • Lasso (programming language)
  • Shrinkage
  • Selection (genetic algorithm)
  • Regression
  • Regression analysis
  • Computer science
  • Artificial intelligence
  • Statistics
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Funding