A semi-parametric approach to feature selection in high-dimensional linear regression models

Yuyang Liu; Pengfei Pi; Shan Luo

doi:10.1007/s00180-022-01254-z

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A semi-parametric approach to feature selection in high-dimensional linear regression models

Yuyang Liu Pengfei Pi Shan Luo

Year: 2022 Journal: Computational Statistics Vol: 38 (2)Pages: 979-1000 Publisher: Springer Science+Business Media

DOI: 10.1007/s00180-022-01254-z

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Keywords:

Feature selection Parametric statistics Consistency (knowledge bases) Selection (genetic algorithm) Feature (linguistics) Computation Linear regression Model selection Computer science Mathematics Regression Algorithm Statistics Pattern recognition (psychology) Mathematical optimization Artificial intelligence

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Statistical Methods and Inference

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Control Systems and Identification

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A semi-parametric approach to feature selection in high-dimensional linear regression models

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