Jialiang Li

15 papers Journal 15
YearRankTypeTitle / Venue / Authors
2023 J jnl
Autoregressive Networks.
J. Mach. Learn. Res.
Binyan Jiang, Jialiang Li, Qiwei Yao
2022 J jnl
Minimum f-Divergence Estimation With Applications to Degradation Data Analysis.
IEEE Trans. Inf. Theory
Fode Zhang, Jialiang Li, Hon Keung Tony Ng
2019 J jnl
Optimal model averaging estimation for correlation structure in generalized estimating equations.
Commun. Stat. Simul. Comput.
Fang Fang, Jialiang Li, Jingli Wang
2019 J jnl
Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients.
Comput. Stat. Data Anal.
Mu Yue, Jialiang Li, Ming-Yen Cheng
2018 J jnl
Sample size determination for high dimensional parameter estimation with application to biomarker identification.
Comput. Stat. Data Anal.
Binyan Jiang, Jialiang Li
2017 J jnl
Accounting for clinical covariates and interactions in ranking genomic markers using ROC.
Commun. Stat. Simul. Comput.
Tao Yu, Jialiang Li, Shuangge Ma
2017 J jnl
Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model.
Comput. Stat. Data Anal.
Jialiang Li, David J. Nott, Y. Fan, Scott A. Sisson
2017 J jnl
Varying coefficient functional autoregressive model with application to the U.S. treasuries.
J. Multivar. Anal.
Meng Xu, Jialiang Li, Ying Chen
2016 J jnl
Feature screening for generalized varying coefficient models with application to dichotomous responses.
Comput. Stat. Data Anal.
Xiaochao Xia, Hu Yang, Jialiang Li
2014 J jnl
HUM calculator and HUM package for R: easy-to-use software tools for multicategory receiver operating characteristic analysis.
Bioinform.
Natalia Novoselova, Cristina Della Beffa, Junxi Wang, Jialiang Li, Frank Pessler, Frank Klawonn
2012 J jnl
Adjusting confounders in ranking biomarkers: a model-based ROC approach.
Briefings Bioinform.
Tao Yu, Jialiang Li, Shuangge Ma
2012 J jnl
Applications of the Bootstrap in ROC Analysis.
Commun. Stat. Simul. Comput.
Jialiang Li
2010 J jnl
A sign based loss approach to model selection in nonparametric regression.
Stat. Comput.
David J. Nott, Jialiang Li
2009 J jnl
Impact of unknown covariance structures in semiparametric models for longitudinal data: An application to Wisconsin diabetes data.
Comput. Stat. Data Anal.
Jialiang Li, Yingcun Xia, Mari Palta, Anoop Shankar
2008 J jnl
An Empirical Study of Statistical Properties of Variance Partition Coefficients for Multi-Level Logistic Regression Models.
Commun. Stat. Simul. Comput.
Jialiang Li, Brian R. Gray, Douglas M. Bates