Jialiang Li

Orcid: 0000-0002-9704-4135

Affiliations:
  • National University of Singapore, Singapore


According to our database1, Jialiang Li authored at least 15 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2023
Autoregressive Networks.
J. Mach. Learn. Res., 2023

2022
Minimum f-Divergence Estimation With Applications to Degradation Data Analysis.
IEEE Trans. Inf. Theory, 2022

2019
Optimal model averaging estimation for correlation structure in generalized estimating equations.
Commun. Stat. Simul. Comput., 2019

Two-step sparse boosting for high-dimensional longitudinal data with varying coefficients.
Comput. Stat. Data Anal., 2019

2018
Sample size determination for high dimensional parameter estimation with application to biomarker identification.
Comput. Stat. Data Anal., 2018

2017
Varying coefficient functional autoregressive model with application to the U.S. treasuries.
J. Multivar. Anal., 2017

Accounting for clinical covariates and interactions in ranking genomic markers using ROC.
Commun. Stat. Simul. Comput., 2017

Extending approximate Bayesian computation methods to high dimensions via a Gaussian copula model.
Comput. Stat. Data Anal., 2017

2016
Feature screening for generalized varying coefficient models with application to dichotomous responses.
Comput. Stat. Data Anal., 2016

2014
HUM calculator and HUM package for R: easy-to-use software tools for multicategory receiver operating characteristic analysis.
Bioinform., 2014

2012
Applications of the Bootstrap in ROC Analysis.
Commun. Stat. Simul. Comput., 2012

Adjusting confounders in ranking biomarkers: a model-based ROC approach.
Briefings Bioinform., 2012

2010
A sign based loss approach to model selection in nonparametric regression.
Stat. Comput., 2010

2009
Impact of unknown covariance structures in semiparametric models for longitudinal data: An application to Wisconsin diabetes data.
Comput. Stat. Data Anal., 2009

2008
An Empirical Study of Statistical Properties of Variance Partition Coefficients for Multi-Level Logistic Regression Models.
Commun. Stat. Simul. Comput., 2008


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