Junlong Zhao,Chao Liu,Lu Niu,Chenlei Leng. Multiple influential point detection in high dimensional regression spaces. Journal of the Royal Statistical Society Series B.
在The Annals of Statistics, Journal of the Royal Statistical Society: Series B, Statistic Sinica, Statistics and computing, Bernoulli, Computations statistic& data analysis，等期刊发表论文近三十余篇。
Junlong Zhao, Chao Liu, Lu Niu, Chenlei Leng, (2019), Multiple influential point detection in high dimensional regression spaces, Journal of the Royal Statistical Society: Series B. https://rss.onlinelibrary.wiley.com/doi/10.1111/rssb.12311
Lu Niu, Junlong Zhao* (2019) High dimensional semiparametric estimate of latent covariance matrix for matrix-variate. Statistica Sinica (In press)
Junlong Zhao, Guan Yu, Yufeng Liu, (2018) Assecing the robustness of classification in angular breakdown point.The Annals of Statistics. 46, 3362–3389.
Junlong Zhao, Hongyu Zhao, Lixing Zhu (2018) Pivotal variable detection of the covariance matrix and its application to high-dimensional factor models. Statistics and Computing. Vol.28(4), pp.775-793.
Lan Wei, Yingying Ma, Junlong Zhao, Hansheng Wang, Thai-Chi Ling(2018), Sequential model averaging forhigh dimensional linear regression models. Statistica Sinica, 28, 449-469.
Junlong Zhao, Lu Niu, Shushi Zhan.(2017) Trace regression model with simultaneously low rank and row (column) sparse parameter. Computational Statistics & Data Analysis, 116,1-17.
Xuehu Zhu, Tao Wang, Junlong Zhao, Lixing Zhu（2017）Inference for biased tranformation models，Computational statistic data analysis.109, 105-120.
Junlong Zhao, Chenlei Leng (2016). An analysis on penalized interaction model. Bernoulli,22(3), 1937–1961.
Xiaoling Lv, Junlong zhao, Yu Chen, Hansheng, Wang. (2016) A choice model with a diverging choice set for POI data analysis. Statistics and Its Interface, 9, 355–363.
Lele Huang, Junlong Zhao*, Huiwen Wang, Siyang Wang. (2016) Robust Shrinkage Estimation and Selection for Functional Multiple Linear Model Through LAD Loss. Computational statistics & data analysis.103, 384-400.
Xuhua Liu, Junlong Zhao, Na Li, (2016) A confidence distribution approach to inferring the among-group variance component in one-way random effects model with unequal error variances, Journal of Statistical Planning and Inference, 2016, (171), 79-91.
Junlong Zhao (2015). General sparse boosting: improving the feature selection of L2boosting. Communication in statistics--computation and simulation, 44, 1612-1640.
Junlong Zhao, Chenlei Leng, (2014). Structured Lasso with matrix covariates in regression. Statistic Sinica. 24, 799-814.
Junlong Zhao, Chenlei Leng, Lexin Li, Hansheng Wang (2013). High dimensional influence measure. The Annals of Statistics 41(5), 2639-2667.
Junlong Zhao (2013). Asymptotic convergence of dimension reduction based boosting in classification. Journal of Statistical Planning and Inference 143, 651–662.
Junlong Zhao, (2012). Modeling by combining dimension reduction and L2boosting, Lecture Notes in Computer Science, 7389, 230--235.
Junlong Zhao, Yuliang Yin, Xingzhong Xu, (2012). Penalized weighted variance estimate for dimension reduction, Communication in statistics--Theory and Method. 41(3),453-473.
Junlong Zhao, Xiuli Zhao, (2010). Dimension reduction using generalized gradient direction. Computational Statistics and Data Analysis 54, 1089—1102.
Junlong Zhao, Xu Xingzhong, (2009). Dimension reduction based on weighted variance estimate. Science in China: Series A Mathematics, 52(3) ,539-560 .
Jianjun Ma, Xingzhong Xu, Junlong Zhao, (2008). Inverse regression in Binary Response LDV Model. Communications in Statistics--Theory and Methods. 37, 233--246.
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