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ORCIDJialiang Li 0001
Person information
- affiliation: National University of Singapore, Singapore
Other persons with the same name
- Jialiang Li — disambiguation page
- Jialiang Li 0002
![[0000-0002-8480-7586]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8480-7586")
— University of Adelaide, Australia - Jialiang Li 0003 — Zhejiang Post and Telecommunication College, Shaoxing, China (and 1 more)
- Jialiang Li 0004 — Jilin University, Changchun, China
- Jialiang Li 0005 — Linkedin Corp., Mountain View, CA, USA
- Jialiang Li 0006 — Michigan Technology University, Houghton, MI, USA
- Jialiang Li 0007 — Roskilde University, Denmark
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2020 – today
- 2023
[j15]Binyan Jiang, Jialiang Li, Qiwei Yao:
Autoregressive Networks. J. Mach. Learn. Res. 24: 227:1-227:69 (2023)- 2022
- [j14]Fode Zhang, Jialiang Li, Hon Keung Tony Ng:
Minimum f-Divergence Estimation With Applications to Degradation Data Analysis. IEEE Trans. Inf. Theory 68(10): 6774-6789 (2022)
2010 – 2019
- 2019
- [j13]Mu Yue, Jialiang Li, Ming-Yen Cheng:
Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients. Comput. Stat. Data Anal. 131: 222-234 (2019) - [j12]Fang Fang, Jialiang Li, Jingli Wang:
Optimal model averaging estimation for correlation structure in generalized estimating equations. Commun. Stat. Simul. Comput. 48(5): 1574-1593 (2019) - 2018
- [j11]Binyan Jiang, Jialiang Li:
Sample size determination for high dimensional parameter estimation with application to biomarker identification. Comput. Stat. Data Anal. 118: 54-65 (2018) - 2017
- [j10]Jialiang Li, David J. Nott, Y. Fan, Scott A. Sisson:
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model. Comput. Stat. Data Anal. 106: 77-89 (2017) - [j9]Tao Yu, Jialiang Li, Shuangge Ma:
Accounting for clinical covariates and interactions in ranking genomic markers using ROC. Commun. Stat. Simul. Comput. 46(5): 3735-3755 (2017) - [j8]Meng Xu, Jialiang Li, Ying Chen:
Varying coefficient functional autoregressive model with application to the U.S. treasuries. J. Multivar. Anal. 159: 168-183 (2017) - 2016
- [j7]Xiaochao Xia, Hu Yang, Jialiang Li:
Feature screening for generalized varying coefficient models with application to dichotomous responses. Comput. Stat. Data Anal. 102: 85-97 (2016) - 2014
- [j6]Natalia Novoselova, Cristina Della Beffa, Junxi Wang, Jialiang Li, Frank Pessler, Frank Klawonn:
HUM calculator and HUM package for R: easy-to-use software tools for multicategory receiver operating characteristic analysis. Bioinform. 30(11): 1635-1636 (2014) - 2012
- [j5]Tao Yu, Jialiang Li, Shuangge Ma:
Adjusting confounders in ranking biomarkers: a model-based ROC approach. Briefings Bioinform. 13(5): 513-523 (2012) - [j4]Jialiang Li:
Applications of the Bootstrap in ROC Analysis. Commun. Stat. Simul. Comput. 41(6): 865-877 (2012) - 2010
- [j3]David J. Nott, Jialiang Li:
A sign based loss approach to model selection in nonparametric regression. Stat. Comput. 20(4): 485-498 (2010)
2000 – 2009
- 2009
- [j2]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) - 2008
- [j1]Jialiang Li, Brian R. Gray, Douglas M. Bates:
An Empirical Study of Statistical Properties of Variance Partition Coefficients for Multi-Level Logistic Regression Models. Commun. Stat. Simul. Comput. 37(10): 2010-2026 (2008)
Coauthor Index
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