Variable selection in high-dimensional sparse multiresponse linear regression models

Shan Luo

doi:10.1007/s00362-018-0989-x

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Variable selection in high-dimensional sparse multiresponse linear regression models

Shan Luo

Year: 2018 Journal: Statistical Papers Vol: 61 (3)Pages: 1245-1267 Publisher: Springer Science+Business Media

DOI: 10.1007/s00362-018-0989-x

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Keywords:

Covariate Feature selection Extension (predicate logic) Linear regression Row Matching (statistics) Variable (mathematics) Mathematics Design matrix Matching pursuit Applied mathematics Matrix (chemical analysis) Selection (genetic algorithm) Property (philosophy) Row and column spaces Regression Computer science Linear model Algorithm Statistics Artificial intelligence Mathematical analysis Compressed sensing

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Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

Advanced Statistical Methods and Models

Physical Sciences → Mathematics → Statistics and Probability

Variable selection in high-dimensional sparse multiresponse linear regression models

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