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Yingcun Xia
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2020 – today
- 2024
- [i1]Haoran Zhan, Yingcun Xia:
Consistency for Large Neural Networks. CoRR abs/2409.14123 (2024) - 2023
- [j6]Yu Liu, Degui Li, Yingcun Xia:
Dimension Reduction and MARS. J. Mach. Learn. Res. 24: 309:1-309:30 (2023) - 2022
- [j5]Qing Cheng, Tingting Qiu, Xiaoran Chai, Baoluo Sun, Yingcun Xia, Xingjie Shi, Jin Liu:
MR-Corr2: a two-sample Mendelian randomization method that accounts for correlated horizontal pleiotropy using correlated instrumental variants. Bioinform. 38(2): 303-310 (2022) - 2020
- [j4]Mei Yan, Efang Kong, Yingcun Xia:
Quantile based dimension reduction in censored regression. Comput. Stat. Data Anal. 142 (2020)
2010 – 2019
- 2019
- [j3]Jia Chen, Degui Li, Yingcun Xia:
Estimation of a rank-reduced functional-coefficient panel data model with serial correlation. J. Multivar. Anal. 173: 456-479 (2019) - 2014
- [j2]Tianhao Wang, Yingcun Xia:
A Piecewise Single-Index Model for Dimension Reduction. Technometrics 56(3): 312-324 (2014) - 2011
- [r1]Yingcun Xia:
Semiparametric Regression Models. International Encyclopedia of Statistical Science 2011: 1296
2000 – 2009
- 2009
- [j1]Jialiang Li, Yingcun Xia, Mari Palta, Anoop Shankar:
Impact of unknown covariance structures in semiparametric models for longitudinal data: An application to Wisconsin diabetes data. Comput. Stat. Data Anal. 53(12): 4186-4197 (2009)
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