American Psychological Association 6th edition

Liu, H., Yao, T., Li, R., & Ye, Y. (2017). Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions. Mathematical Programming: A Publication of the Mathematical Optimization Society, 1-34. https://doi.org/10.1007/s10107-017-1114-y

ISO-690 (author-date, English)

LIU, Hongcheng, YAO, Tao, LI, Runze and YE, Yinyu, 2017. Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions. Mathematical Programming: A Publication of the Mathematical Optimization Society. 10 February 2017. P. 1-34. DOI 10.1007/s10107-017-1114-y.

Modern Language Association 9th edition

Liu, H., T. Yao, R. Li, and Y. Ye. “Folded Concave Penalized Sparse Linear Regression: Sparsity, Statistical Performance, and Algorithmic Theory for Local Solutions”. Mathematical Programming: A Publication of the Mathematical Optimization Society, Feb. 2017, pp. 1-34, https://doi.org/10.1007/s10107-017-1114-y.

Mohr Siebeck - Recht (Deutsch - Österreich)

Liu, Hongcheng/Yao, Tao/Li, Runze/Ye, Yinyu: Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions, Mathematical Programming: A Publication of the Mathematical Optimization Society 2017, 1-34.

Emerald - Harvard

Liu, H., Yao, T., Li, R. and Ye, Y. (2017), “Folded concave penalized sparse linear regression: sparsity, statistical performance, and algorithmic theory for local solutions”, Mathematical Programming: A Publication of the Mathematical Optimization Society, pp. 1-34.

Warning: These citations may not always be 100% accurate.