Qi Zheng, Ph.D.
Affiliations: | 2013 | Mathematical Science | Clemson University, Clemson, SC, United States |
Area:
StatisticsGoogle:
"Qi Zheng"Parents
Sign in to add mentor| K B. Kulasekera | grad student | 2013 | Clemson University | |
| (Robust and efficient regression.) | ||||
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Publications
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| Pijyan A, Zheng Q, Hong HG, et al. (2020) Consistent Estimation of Generalized Linear Models with High Dimensional Predictors via Stepwise Regression. Entropy (Basel, Switzerland). 22 |
| Shi XY, Zheng Q, Yao JY, et al. (2020) Analysis of a stochastic IVGTT glucose-insulin model with time delay. Mathematical Biosciences and Engineering : Mbe. 17: 2310-2329 |
| Zheng Q, Hong HG, Li Y. (2019) Building Generalized Linear Models with Ultrahigh Dimensional Features: A Sequentially Conditional Approach. Biometrics |
| Hong HG, Zheng Q, Li Y. (2019) Forward regression for Cox models with high-dimensional covariates. Journal of Multivariate Analysis. 173: 268-290 |
| Zheng Q, Peng L, He X. (2018) HIGH DIMENSIONAL CENSORED QUANTILE REGRESSION. Annals of Statistics. 46: 308-343 |
| Zheng Q, Peng L. (2017) Consistent model identification of varying coefficient quantile regression with BIC tuning parameter selection. Communications in Statistics: Theory and Methods. 46: 1031-1049 |
| Cui Y, Zheng Q. (2017) Conditional maximum likelihood estimation for a class of observation-driven time series models for count data Statistics & Probability Letters. 123: 193-201 |
| Li J, Zheng Q, Peng L, et al. (2016) Survival impact index and ultrahigh-dimensional model-free screening with survival outcomes. Biometrics |
| Zheng Q, Gallagher C, Kulasekera KB. (2016) Robust adaptive Lasso for variable selection Communications in Statistics - Theory and Methods. 46: 4642-4659 |
| Zheng Q, Peng L, He X. (2015) GLOBALLY ADAPTIVE QUANTILE REGRESSION WITH ULTRA-HIGH DIMENSIONAL DATA. Annals of Statistics. 43: 2225-2258 |