Sequential Feature Screening for Generalized Linear Models with Sparse Ultra-High Dimensional Data

Junying Zhang; Hang Wang; Riquan Zhang; Jiajia Zhang

doi:10.1007/s11424-020-8273-2

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Sequential Feature Screening for Generalized Linear Models with Sparse Ultra-High Dimensional Data

Junying Zhang Hang Wang Riquan Zhang Jiajia Zhang

Year: 2020 Journal: Journal of Systems Science and Complexity Vol: 33 (2)Pages: 510-526 Publisher: Springer Science+Business Media

DOI: 10.1007/s11424-020-8273-2

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Keywords:

Feature selection Lasso (programming language) Feature (linguistics) Generalized linear model Computer science Algorithm Model selection Complex system Linear model Maximum likelihood Variable (mathematics) Iterative method Function (biology) Likelihood function Mathematics Pattern recognition (psychology) Mathematical optimization Artificial intelligence Estimation theory Machine learning Statistics

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Control Systems and Identification

Physical Sciences → Engineering → Control and Systems Engineering

Genetic and phenotypic traits in livestock

Life Sciences → Biochemistry, Genetics and Molecular Biology → Genetics

Sequential Feature Screening for Generalized Linear Models with Sparse Ultra-High Dimensional Data

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