Dianliang Deng


Office: CW 307.22
E-mail: DianLiang.Deng@uregina.ca
Phone: 306-585-4344
Website: https://uregina.ca/~deng/

Current classes
STAT 485/859 Design and Analysis of Experiments

Research interests
Statistical analysis of discrete data, survival data, longitudinal data and functional data, and limit theorems in probability

Recent Publications

1) Deng, Dianliang; Sun, Yiguang; Tian, Guo-Liang; A multivariate zero-inflated binomial model for the analysis of correlated proportional data. J. Appl. Stat. 49 (2022), no. 11, 2740–2766.

2) Xiong, Wei; Wang, Dehui; Deng, Dianliang; Wang, Xinyang; Zhang, Wanying Penalized multiply robust estimation in high-order autoregressive processes with missing explanatory variables. J. Multivariate Anal. 187 (2022), Paper No. 104867, 15 pp.

3) Deng, Dianliang and Chowdhury, Mashfiq. Quantile regression approach for analyzing similarity of gene expressions under multiple biological conditions. Stats 5 (2022) , 583–605; https://doi.org/10.3390/stats5030036.

4) Liu, Xiufang; Wang, Dehui; Deng, Dianliang; Cheng, Jianhua and Lu, Feilong. Maximum likelihood estimation of the DDRCINAR(p) model. Communications in Statistics - Theory and Methods 50 (2021), 6231-6255; https://doi.org/10.1080/03610926.2020.1741627.

5) Liu, Xiufang; Deng, Dianliang and Wang, Dehui. Estimating the quantile medical cost under time-dependent covariates and right censored time-to-event variable based on a state process.  Statistical Methods in Medical Research 29(2020), 2041–2062; https://doi.org/10.1177/0962280219882968.

3) Deng, Dianliang; Fang, Hong-Bin; Razeghi Jahromi, Kian; Song, Jiuzhou; Tan, Ming. Detection of threshold points for gene expressions under multiple biological conditions. Stat. Interface, 10 (2017), no. 4, 643–655.