Jingjing Wu

• Minimum distance estimation
• Non/semi-parametric models
• Mixture models
• Regression models
• Efficiency and robustness
• Survival analysis
• Feature selection
• Classification
• Statistical genetics

Journal Articles - Peer Reviewed

• Wu, Jingjing, Lu, Xuewen and Zhong, Wenyan. "Bi-level variable selection in semiparametric transformation mixture cure models for right-censored data". Communications in Statistics – Simulation and Computation, (2022). Print.
• Zhao, Qiang, Chen, Liang and Wu, Jingjing. "Robust and efficient estimation of GARCH models based on Hellinger distance". Journal of Applied Statistics, (2022). Print.
• Wu, Jingjing, Abedin, Tasnima and Zhao, Qiang. "Semiparametric modelling of two-component mixtures with stochastic dominance". Annals of the Institute of Statistical Mathematics, (2022). Print.
• Zhao, Qiang, Zhang, Chao, Wu, Jingjing and Wang, Xiuli. "Robust and efficient estimation for nonlinear model based on composite quantile regression with missing covariates". AIMS Mathematics, (2022). Print.
• Ghoreishi, Seyed Kamran and Wu, Jingjing. "Empirical estimates for heteroscedastic hierarchical dynamic normal models". Journal of the Korean Statistical Society 50.2 (2021): 528-543. Print.
• Bayati, Mahdieh, Ghoreishi, Seyed Kamran and Wu, Jingjing. "Bayesian analysis of restricted penalized empirical likelihood". Computational Statistics 36.2 (2021): 1321-1339. Print.
• Wu, Jingjing and Abedin, Tasnima. "A two-component nonparametric mixture model with stochastic dominance". Journal of the Korean Statistical Society 50.4 (2021): 1029-1057. Print.
• Zhong, Wenyan, Lu, Xuewen and Wu, Jingjing. "Bi-level variable selection in semiparametric transformation models with right-censored data". Computational Statistics 36.3 (2021): 1661-1692. Print.
• Bayati, Mahdieh, Ghoreishi, Seyed Kamran and Wu, Jingjing. "Restricted empirical likelihood estimation for time series autoregressive models". Journal of Statistical Theory and Applications 20.1 (2021): 11-20. Print.
• Cao, Chen, Kwok, Devin, Edie, Shannon, Li, Qing, Ding, Bowei, Kossinna, Pathum, Campbell, Simone, Wu, Jingjing, Greenberg, Matthew and Long, Quan. "kTWAS: integrating kernel-machine with transcriptome-wide association studies improves statistical power and reveals novel genes". Briefings in Bioinformatics 22.4 (2021): 1-16. Print.
• Cao, Chen, Ding, Bowei, Li, Qing, Kwok, Devin, Wu, Jingjing and Long, Quan. "Power analysis of transcriptome-wide association study: implications for practical protocol choice". PLOS Genetics 17.2 (2021): 1-20. Print.
• Fani, Shabnam, Shen, Hua, Lu, Xuewen and Wu, Jingjing. "Semiparametric regression with the U-shaped baseline hazard function in the additive hazards model under general censoring mechanisms". Journal of Statistical Computation and Simulation 91.16 (2021): 3255-3282. Print.
• Li, Jiang and Wu, Jingjing. "Minimum profile Hellinger distance estimation for semiparametric simple linear regression model". Springer Proceedings in Mathematics and Statistics 375. (2021): 1-30. Print.
• Ghoreishi, Seyed Kamran and Wu, Jingjing. "Adaptive thresholding estimator for differential association structures in two independent contingency tables". Hacettepe Journal of Mathematics & Statistics 49.4 (2020): 1480-1492. Print.
• Zhao, Qiang, Karunamuni, Rohana and Wu, Jingjing. "An empirical classification procedure for nonparametric mixture models". Journal of the Korean Statistical Society 49.3 (2020): 924-952. Print.
• Cong, Wei, Zhang, Nianzhang, Hu, Ruisi, Zou, Fengcai, Zou, Yang, Zhong, Wenyan, Wu, Jingjing, Fallaize, Christopher J., Zhu, Xingquan and Elsheikha, Hany M.. "Prevalence, risk factors and genotype distribution of Toxoplasma gondii DNA in soil in China". Ecotoxicology and Environmental Safety 189. (2020): 1-7. Print.
• Lu, Shanshan, Wu, Jingjing and Lu, Xuewen. "Efficient estimation of the varying-coefficient partially linear proportional odds model with current status data". Metrika 82.2 (2019): 173-194. Print.
• Wu, Jingjing and Karunamuni, Rohana. "Efficient and robust tests for semiparametric models". Annals of the Institute of Statistical Mathematics 70.4 (2018): 761-788. Print.
• Li, Haocheng, Wu, Jingjing and Yang, Jian. "Minimum profile Hellinger distance estimation for two-sample location models". Journal of Data Science 16.3 (2018): 465-484. Print.
• Wu, Jingjing and Zhou, Xiaofan. "Minimum Hellinger distance estimation for a semiparametric location-shifted mixture model". Journal of Statistical Computation and Simulation 88.13 (2018): 2507-2527. Print.
• Wu, Jingjing, Yao, Weixin and Xiang, Sijia. "Computation of an efficient and robust estimator in a semiparametric mixture model". Journal of Statistical Computation and Simulation 87.11 (2017): 2128-2137. Print.
• Wu, Jingjing, Xing, Nana and Liu, Shawn. "Maximum Lq-likelihood estimation for gamma distributions". Journal of Advanced Statistics 2.1 (2017): 54-70. Print.
• Wu, Jingjing, Chen, Guoqiang and Feng, Zeny. "An efficient semiparametric approach for marker gene selection and patient classification". Biostatistics and Biometrics Open Access Journal 1.2 (2017): BBOAJ.MS.ID.555558. Print.
• Zhong, Wenyan, Lu, Xuewen and Wu, Jingjing. "Feature selection for cancer classification using microarray gene expression data". Biostatistics and Biometrics Open Access Journal 1.2 (2017): BBOAJ.MS.ID.555557. Print.
• Wu, Jingjing and Karunamuni, Rohana. "Profile Hellinger distance estimation". Statistics 49. (2015): 711-740. Print.
• Xiang, Sijia, Yao, Weixin and Wu, Jingjing. "Minimum profile Hellinger distance estimation for a semiparametric mixture model". Canadian Journal of Statistics 42. (2014): 246-267. Print.
• Xie, Xiaoran and Wu, Jingjing. "Some improvement on convergence rates of kernel density estimator". Applied Mathematics - Special Issue on Survival Analysis 5. (2014): 1684-1696. Print.
• Zhu, Yayuan, Wu, Jingjing and Lu, Xuewen. "Minimum Hellinger distance estimation for a two-sample semiparametric cure rate model with censored survival data". Computational Statistics 28. (2013): 2495-2518. Print.
• Chen, Guoqiang and Wu, Jingjing. "Molecular classification of acute leukemia". Some Recent Advances in Mathematics and Statistics - Proceedings of Statistics 2011 Canada/IMST 2011-FIM XX, (2013): 60-74. Print.
• Wu, Jingjing and Karunamuni, Rohana. "Efficient Hellinger distance estimates for semiparametric models". Journal of Multivariate Analysis 107. (2012): 1-23. Print.
• Karunamuni, Rohana and Wu, Jingjing. "One-step minimum Hellinger distance estimation". Computational Statistics and Data Analysis 55. (2011): 3148-3164. Print.
• Wu, Jingjing, Karunamuni, Rohana and Zhang, Biao. "Minimum Hellinger distance estimation in a two-sample semiparametric model". Journal of Multivariate Analysis 101. (2010): 1102-1122. Print.
• Karunamuni, Rohana, Li, Jianjun and Wu, Jingjing. "Robust empirical Bayes tests for continuous distributions". Journal of Statistical Planning and Inference 140. (2010): 268-282. Print.
• Wu, Jingjing and Karunamuni, Rohana. "On minimum Hellinger distance estimation". Canadian Journal of Statistics 37. (2009): 514-533. Print.
• Karunamuni, Rohana and Wu, Jingjing. "Minimum Hellinger distance estimation in a nonparametric mixture model". Journal of Statistical Planning and Inference 139. (2009): 1118-1133. Print.
• Karunamuni, Rohana, Liang, Tachen and Wu, Jingjing. "Robust empirical Bayes tests for discrete distributions". Journal of Nonparametric Statistics 20. (2008): 101-113. Print.
• Karunamuni, Rohana, Sriram, T.N. and Wu, Jingjing. "Rates of convergence of an adaptive kernel density estimator for finite mixture models". Statistics and Probability Letters 76. (2006): 221-230. Print.
• Karunamuni, Rohana, Sriram, T.N. and Wu, Jingjing. "Asymptotic normality of an adaptive kernel density estimator for finite mixture models". Statistics and Probability Letters 76. (2006): 211-220. Print.