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Yafen Ye

Dados Biográficos

ID7544272
NOMEYafen Ye
PRENOMESYafen
SOBRENOMEYe
ASSINATURAYE Y
AFILIAÇÕESZhejiang University of Technology
ORCID0000-0001-6000-8635
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2022
ÍNDICE H0
  • A sparse approach for high-dimensional data with heavy-tailed noise

    Open Access•Yafen Ye, Yuanhai Shao et al.•ARTICLE•Economic Research-Ekonomska…•2022

    High-dimensional data have commonly emerged in diverse fields, such as economics, finance, genetics, medicine, machine learning, and so on. In this paper, we consider the sparse quantile regression problem of high-dimensional data with heavy-tailed noise, especially when the number of regressors is much larger than the sample size. We bring the spirit of -norm support vector regression into quantile regression and propose a robust -norm support v…

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  • A sparse approach for high-dimensional data with heavy-tailed noise

    Open Access•Yafen Ye, Yuanhai Shao et al.•ARTICLE•Economic Research-Ekonomska…•2022

    High-dimensional data have commonly emerged in diverse fields, such as economics, finance, genetics, medicine, machine learning, and so on. In this paper, we consider the sparse quantile regression problem of high-dimensional data with heavy-tailed noise, especially when the number of regressors is much larger than the sample size. We bring the spirit of -norm support vector regression into quantile regression and propose a robust -norm support v…

Artificial Intelligence (1 obras) · Bayesian Methods and Mixture Models (1 obras) · Computer Science (1 obras) · Econometrics (1 obras) · Feature selection (1 obras) · Gene expression and cancer classification (1 obras) · Linear regression (1 obras) · Mathematics (1 obras) · Quantile (1 obras) · Quantile regression (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae