人大

The Grid template

Jingxiao Zhang, PhD

Professor of Statistics at Renmin University of China

The Grid template Beijing, China

The Grid template Github


Publication


2022-20232020-2021 | 2018-2019 | 2016-2017 | Before 2015

2022-2023

Zishu Zhan, Xiangjie Li, Jingxiao Zhang. (2023). Partial replacement imputation estimation for partially linear models with complex missing pattern covariates , Statistics and Computing , 33(4),88. [R软件包]

Rou Zhong, Chunming Zhang, Jingxiao Zhang. (2023). Locally sparse estimator of generalized varying coefficient model for asynchronous longitudinal data , Accepted by Statistics and Computing , **, **. [R软件包]

Xiaokang Yu, Xinyi Xu, Jingxiao Zhang, Xiangjie Li. (2023). Batch alignment of single-cell transcriptomics data using deep metric learning , Nature Communications ,14(960).

Xinyi Xu, Xiaokang Yu, Gang Hu, Kui Wang, Jingxiao Zhang, Xiangjie Li. (2023). Propensity score matching enables batch-effect-corrected imputation in single-cell RNA-seq , Briefings in Bioinformatics ,23(4).

Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. Xiangjie Li. (2023). Sparse logistic functional principal component analysis for binary data , Statistics and Computing ,33(15). [R软件包]

Rou Zhong, Shishi Liu, Haocheng Li Jingxiao Zhang. (2022). Robust functional principal component analysis for non-Gaussian longitudinal data , Journal of Statistical Computation and Simulation ,92(13), 2788-2801.

2020-2021

Rou Zhong, Shishi Liu, Haocheng Li, Jingxiao Zhang. (2021). Robust functional principal component analysis for non-Gaussian longitudinal data , Journal of Multivariate Analysis , 104864. [R软件包]

Xiangjie Li, Kui Wang, Yafei Lyu, Huize Pan, Jingxiao Zhang, Dwight Stambolian, Katalin Susztak, Muredach P. Reilly, Gang Hu, Mingyao Li. (2020). Deep learning enables accurate clustering with batch effect removal in single-cell RNA-seq analysis , Nature Communications , 11(1), 1—14.

Xiangjie Li, Jingxiao Zhang. (2020). Sufficient dimension folding via tensor inverse regression , Journal of Statistical Computation and Simulation , 90(8), 1413—1429.

Xinyi Xu, Xiangjie Li, Jingxiao Zhang. (2020). Regularization methods for high-dimensional sparse control function models , Journal of Statistical Planning and Inference , 206, 111—126.

Lei Wang, Xuejun Ma, Jingxiao Zhang. (2020). Feature screening for ultrahigh-dimensional additive logistic models , Journal of Statistical Planning and Inference , 205, 306—317.

Shishi Liu, Xiangjie Li, Jingxiao Zhang. (2020). Ultrahigh dimensional feature screening for additive model with multivariate response , Journal of Statistical Computation and Simulation , 90(5), 775—799.

Xinyi Xu, Jingxiao Zhang. (2020). Groupwise sufficient dimension reduction via conditional distance clustering , Metrika , 83(2), 217—242.


2018-2019

Xinyi Xu, Xiangjie Li, Jingxiao Zhang. (2018). Sufficient dimension reduction and prediction through cumulative slicing PFC , Journal of Statistical Computation and Simulation , 88(6), 1172—1190.

Xiangjie Li, Xuejun Ma, Jingxiao Zhang. (2018). Conditional quantile correlation screening procedure for ultrahigh-dimensional varying coefficient models , Journal of Statistical Planning and Inference , 197, 69—92.


2016-2017

Xiangjie Li, Lei Wang, Jingxiao Zhang. (2017). A model-free feature screening approach based on kernel density estimation , Journal of Statistical Computation and Simulation , 87(12), 2450—2468.

Xiangjie Li, Xuejun Ma, Jingxiao Zhang. (2017). Robust feature screening for varying coefficient models via quantile partial correlation , Metrika , 80(1), 17—49.

Xuejun Ma, Xin Chen, Jingxiao Zhang. (2017). Fast robust feature screening for ultrahigh-dimensional varying coefficient models , Journal of Statistical Computation and Simulation , 87(4), 724—732.

Xin Chen, Xuejun Ma, Xueqin Wang, Jingxiao Zhang. (2017). Efficient feature screening for ultrahigh-dimensional varying coefficient models , Statistics and Its Interface , 10(3), 407—412.

Xuejun Ma, Jingxiao Zhang. (2016). A new variable selection approach for varying coefficient models , Metrika , 79(1), 59—72.

Xuejun Ma, Jingxiao Zhang. (2016). Robust model-free feature screening via quantile correlation , Journal of Multivariate Analysis , 143, 472—480.

Shilong Li, Xia Zhao, Jingxiao Zhang. (2016). Fractional Age Assumption Based on Cubic Polynomial Interpolation , Communications in Statistics - Simulation and Computation , 45(4), 1173—1186.


Before 2015

Jingxiao Zhang, Kai,Cao, D.Kannan. (2015). Optimal proportional reinsurance and investment in jump diffusion markets with no short-selling and no borrowing , Dynamic Systems and Applications , 24, 169—186.

Lina Ma, Jingxiao Zhang, D.Kannan. (2013). Utility indifference pricing of reverse mortgage and associated insurance contracts under stochastic interest and volatility rates , Dynamic Systems and Applications , 22, 33—48.

Lina Ma, Jingxiao Zhang, D.Kannan. (2013). Utility indifference pricing of products integrating reverse mortgage with long-term care insurance under a Lévy process financial market, Dynamic Systems and Applications , 22, 459—478.

Jingxiao Zhang. (2013). Flows associated to Cameron-Martin type vector fields on path spaces over a Riemannian manifold , Acta Mathematicae Applicatae Sinica , 29(3), 499—508.

Lina Ma, Jingxiao Zhang, D.Kannan. (2012). Utility indifference pricing of insurance contracts for home reversion plan under stochastic interest rate, Dynamic Systems and Applications , 21, 549—566.

Jingxiao Zhang, Sheng Liu, D.Kannan. (2011). Optimal Dividend Problem with the Influence of Dividend Payouts on Insurance Business, Dynamic Systems and Applications , 20, 519—530.

Jingxiao Zhang, Sheng Liu, D.Kannan. (2011). Optimal Investment and Proportional Reinsurance under No Short-selling and No Borrowing, Dynamic Systems and Applications , 20, 205—222.

Jingxiao Zhang, Sheng Liu, D. Kannan. (2011). Optimal Dividend and Reinsurance under Threshold Strategy, Dynamic Systems and Applications , 20, 193—204.

Chao Yu, Jingxiao Zhang. (2011). Bayesian Approach to Markov Switching Stochastic Volatility Model with Jumps , * Communications in Statistics - Simulation and Computation*, 40(10), 1613—1626.

Lina Ma, Jingxiao Zhang, D. Kannan. (2011). A Markov Process Modeling and Analysis of Indifference Pricing of Insurance Contracts for Home Reversion Plan for a Pair of Insureds , Stochastic Analysis and Applications , 29(5), 860—880.

Sheng Liu, Jingxiao Zhang. (2011). Optimal Investment and Excess of Loss Reinsurance with Short-selling Constraint , Acta Mathematicae Applicatae Sinica , 27(3), 527—534.

D. Kannan, Jingxiao Zhang. (2009). Self-Interacting Markov Chains: Some Asymptotics , Stochastic Analysis and Applications , 27(1), 196—219.

Jingxiao Zhang and D. Kannan. (2007). A Girsanov type theorem on the path space over a compact Riemannian manifold , Stochastic Analysis and Applications , 25(3), 667—678.

Fuzhou Gong, Jingxiao Zhang. (2007). Flows associated to adapted vector fields on the Wiener space , Journal of Functional Analysis , 253(2), 647—674.

Bo Zhang, Jingxiao Zhang, D. Kannan. (2005). Nonlinear Stochastic Difference Equations Driven by Martingales , Stochastic Analysis and Applications , 23(6), 1277—1304.



* authors contributed equally; # co-corresponding authors