Variable selection for sparse logistic regression

Zanhua Yin

doi:10.1007/s00184-020-00764-4

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JOURNAL ARTICLE

Variable selection for sparse logistic regression

Zanhua Yin

Year: 2020 Journal: Metrika Vol: 83 (7)Pages: 821-836 Publisher: Springer Science+Business Media

DOI: 10.1007/s00184-020-00764-4

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Keywords:

Lasso (programming language) Logistic regression Mathematics Feature selection Elastic net regularization Statistics Selection (genetic algorithm) Regression Set (abstract data type) Regression analysis Variable (mathematics) Algorithm Artificial intelligence Computer science

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Bayesian Methods and Mixture Models

Physical Sciences → Computer Science → Artificial Intelligence

Variable selection for sparse logistic regression

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