References in zbMATH (referenced in 83 articles , 1 standard article )

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  1. Vishwakarma, Gajendra K.; Thomas, Abin; Bhattacharjee, Atanu: A weight function method for selection of proteins to predict an outcome using protein expression data (2021)
  2. Ji, Zhi; Wei, Yang; Li, Zhouping: Sure estimates for high dimensional classification (2020)
  3. Lai, Yuanhao; McLeod, Ian: Ensemble quantile classifier (2020)
  4. Luo, Shan; Chen, Zehua: A procedure of linear discrimination analysis with detected sparsity structure for high-dimensional multi-class classification (2020)
  5. Puchkin, Nikita; Spokoiny, Vladimir: An adaptive multiclass nearest neighbor classifier (2020)
  6. Yu, Weichang; Azizi, Lamiae; Ormerod, John T.: Variational nonparametric discriminant analysis (2020)
  7. Yu, Weichang; Ormerod, John T.; Stewart, Michael: Variational discriminant analysis with variable selection (2020)
  8. Chen, Li-Pang; Yi, Grace Y.; Zhang, Qihuang; He, Wenqing: Multiclass analysis and prediction with network structured covariates (2019)
  9. Gaynanova, Irina; Wang, Tianying: Sparse quadratic classification rules via linear dimension reduction (2019)
  10. Huang, Na; Fryzlewicz, Piotr: NOVELIST estimator of large correlation and covariance matrices and their inverses (2019)
  11. Li, Yang; Liu, Jun S.: Robust variable and interaction selection for logistic regression and general index models (2019)
  12. Poterie, A.; Dupuy, J.-F.; Monbet, V.; Rouvière, L.: Classification tree algorithm for grouped variables (2019)
  13. Safo, Sandra E.; Long, Qi: Sparse linear discriminant analysis in structured covariates space (2019)
  14. Cai, Wei; Guan, Guoyu; Pan, Rui; Zhu, Xuening; Wang, Hansheng: Network linear discriminant analysis (2018)
  15. Son, Won; Lim, Johan; Wang, Xinlei: Accuracy of regularized D-rule for binary classification (2018)
  16. Tal, Omri; Tran, Tat Dat: New perspectives on multilocus ancestry informativeness (2018)
  17. Wang, Cheng; Jiang, Binyan: On the dimension effect of regularized linear discriminant analysis (2018)
  18. Blagus, Rok; Lusa, Lara: Gradient boosting for high-dimensional prediction of rare events (2017)
  19. Hu, Kangkang; Zhang, Yongjie Jessica; Liao, Tao: Surface segmentation for polycube construction based on generalized centroidal Voronoi tessellation (2017)
  20. Phan, Duy Nhat; Le Thi, Hoai An; Dinh, Tao Pham: Sparse covariance matrix estimation by DCA-based algorithms (2017)

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