المؤلفون: Xu, J.

المساهمون: STATISTICS & APPLIED PROBABILITY

المصدر: Scopus

مصطلحات موضوعية: accelerated failure time model, adaptive lasso, lars, lasso, maximum rank correlation, quantile regression, resampling, variable selection

العلاقة: Xu, J. (2013-09). Resampling-based efficient shrinkage method for non-smooth minimands. Journal of Nonparametric Statistics 25 (3) : 731-743. ScholarBank@NUS Repository. https://doi.org/10.1080/10485252.2013.797977Test; http://scholarbank.nus.edu.sg/handle/10635/105332Test; 000322617000012

الإتاحة: https://doi.org/10.1080/10485252.2013.797977Test
http://scholarbank.nus.edu.sg/handle/10635/105332Test

المؤلفون: Jiang, Q., Xia, Y.

المساهمون: STATISTICS & APPLIED PROBABILITY

المصدر: Scopus

مصطلحات موضوعية: Adaptive lasso, Oracle property, Smooth threshold AR model, Variable selection

العلاقة: Jiang, Q.,Xia, Y. (2011). Threshold variable selection via a L 1 penalty approach. Statistics and its Interface 4 (2) : 137-148. ScholarBank@NUS Repository.; http://scholarbank.nus.edu.sg/handle/10635/105434Test; NOT_IN_WOS

الإتاحة: http://scholarbank.nus.edu.sg/handle/10635/105434Test

المؤلفون: Xu, J., Leng, C., Ying, Z.

المساهمون: STATISTICS & APPLIED PROBABILITY

المصدر: Scopus

مصطلحات موضوعية: Accelerated failure time model, Adaptive Lasso, BIC, Gehan-type loss function, Lasso, Variable selection

العلاقة: Xu, J., Leng, C., Ying, Z. (2010-04). Rank-based variable selection with censored data. Statistics and Computing 20 (2) : 165-176. ScholarBank@NUS Repository. https://doi.org/10.1007/s11222-009-9126-yTest; http://scholarbank.nus.edu.sg/handle/10635/105321Test; 000276075700005

الإتاحة: https://doi.org/10.1007/s11222-009-9126-yTest
http://scholarbank.nus.edu.sg/handle/10635/105321Test

المؤلفون: Leng, C., Wang, H.

المساهمون: STATISTICS & APPLIED PROBABILITY

المصدر: Scopus

مصطلحات موضوعية: Adaptive lasso, BIC, GAS-PCA, LARS, Lasso, S-PCA, SAS-PCA

العلاقة: Leng, C., Wang, H. (2009). On general adaptive sparse principal component analysis. Journal of Computational and Graphical Statistics 18 (1) : 201-215. ScholarBank@NUS Repository. https://doi.org/10.1198/jcgs.2009.0012Test; http://scholarbank.nus.edu.sg/handle/10635/105256Test; 000268506000012

الإتاحة: https://doi.org/10.1198/jcgs.2009.0012Test
http://scholarbank.nus.edu.sg/handle/10635/105256Test

المؤلفون: Wang, H., Leng, C.

المساهمون: STATISTICS & APPLIED PROBABILITY

المصدر: Scopus

مصطلحات موضوعية: Adaptive LASSO, Bayes information criterion, LASSO, Least angle regression, Least squares approximation, Microarray data, Oracle property, Solution path

العلاقة: Wang, H., Leng, C. (2007-09). Unified LASSO estimation by least squares approximation. Journal of the American Statistical Association 102 (479) : 1039-1048. ScholarBank@NUS Repository. https://doi.org/10.1198/016214507000000509Test; http://scholarbank.nus.edu.sg/handle/10635/105451Test; 000249752300030

الإتاحة: https://doi.org/10.1198/016214507000000509Test
http://scholarbank.nus.edu.sg/handle/10635/105451Test