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Communications for Statistical Applications and Methods 2024;31:179-262
Articles
MBRDR: R-package for response dimension reduction in multivariate regression
Heesung Ahn, Jae Keun Yoo
Communications for Statistical Applications and Methods 2024 Mar; 31(2):179-89
Applications of response dimension reduction in large p-small n problems
Minjee Kim, Jae Keun Yoo
Communications for Statistical Applications and Methods 2024 Mar; 31(2):191-202
L1-penalized AUC-optimization with a surrogate loss
Hyungwoo Kim, Seung Jun Shin
Communications for Statistical Applications and Methods 2024 Mar; 31(2):203-12
DR-LSTM: Dimension reduction based deep learning approach to predict stock price
Ah-ram Lee, Jae Youn Ahn, Ji Eun Choi, Kyongwon Kim
Communications for Statistical Applications and Methods 2024 Mar; 31(2):213-34
A concise overview of principal support vector machines and its generalization
Jungmin Shin, Seung Jun Shin
Communications for Statistical Applications and Methods 2024 Mar; 31(2):235-46
A selective review of nonlinear sufficient dimension reduction
Sehun Jang, Jun Song
Communications for Statistical Applications and Methods 2024 Mar; 31(2):247-62