Research output per year
Research output per year
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Dive into the research topics where Xingyuan Fang is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Research output
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High-dimensional interactions detection with sparse principal hessian matrix
Tang, C. Y., Fang, E. X. & Dong, Y., Jan 1 2020, In: Journal of Machine Learning Research. 21Research output: Contribution to journal › Article › peer-review
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Optimal, two-stage, adaptive enrichment designs for randomized trials, using sparse linear programming
Rosenblum, M., Fang, E. X. & Liu, H., Jul 1 2020, In: Journal of the Royal Statistical Society. Series B: Statistical Methodology. 82, 3, p. 749-772 24 p.Research output: Contribution to journal › Article › peer-review
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Test of significance for high-dimensional longitudinal data
Fang, E. X., Ning, Y. & Li, R., 2020, In: Annals of Statistics. 48, 5, p. 2622-2645 24 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Blessing of massive scale: spatial graphical model estimation with a total cardinality constraint approach
Fang, E. X., Liu, H. & Wang, M., Jul 1 2019, In: Mathematical Programming. 176, 1-2, p. 175-205 31 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Constructing a confidence interval for the fraction who benefit from treatment, using randomized trial data
Huang, E. J., Fang, E. X., Hanley, D. F. & Rosenblum, M., Dec 1 2019, In: Biometrics. 75, 4, p. 1228-1239 12 p.Research output: Contribution to journal › Article › peer-review
2 Scopus citations