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Cuizhen Niu 发布时间:2016-10-23 浏览次数:

Affiliation and Address

School of Statistics,

Beijing Normal University,

Beijing, China, 100875

Email: niucuizhen@bnu.edu.cn

 

Fields of Specialization

Model Checking, Nonparametric Statistics, Missing Data, High-dimensional Data.

 

Publications

1. Niu Cuizhen, Guo X and Zhu L.X. (2017). Enhancements of Nonparametric Generalized Likelihood Ratio Test: Bias-correction and Dimension Reduction. Scandinavian Journal of Statistics. In Press.

2. Niu Cuizhen and Zhu L.X. (2017). An Adaptive-to-Model Enhancement Test for Parametric Single-index Models with Missing Responses. Electronic Journal of Statistics. 11, 1491-1526.

3. Niu Cuizhen, Guo X., Xu W.L. and Zhu L.X. (2014). Empirical Likelihood  Inference in Linear Regression with Nonignorable Missing Response. Computational Statistics & Data Analysis, 79, 91-112.

4. Niu Cuizhen, Wing-keung Wong and Qunfang Xu. (2017). Kappa Ratios and (Higher-Order) Stochastic Dominance. Risk Management. 19(3), 245-253. (SSCI)

5. Niu Cuizhen, Guo X., Wang T. and Xu P.R. (2014). Regret Theory and the Competitive Firm: A Comment. Economic Modelling, 41, 312-315. (SSCI)

6. Niu Cuizhen, Guo X., Xu W.L. and Zhu L.X. (2016). Checking Nonparametric  Component for Partial Linear Regression Model with Missing Response. Journal of Statistical Planning and Inference. 168, 1-19.

7. Niu Cuizhen* and Xia Q. (2015). Testing the Rate Ratio under Inverse Sampling Based on Gradient Statistic. Journal of Applied Statistics. 42(7), 1402-1420.

8. Niu Cuizhen, Guo X., Xu W.L. and Zhu L.X. (2014). Testing Equality of Shape Parameters in Several Inverse Gaussian Populations. Metrika, 77(6), 795-809.

9. Niu Cuizhen, Guo X., Xu W.L. and Zhu L.X. (2014). Comparison of Several  Birnbaum-Saunders Distributions. Journal of Statistical Computation and Simulation. 84(12), 2721-2733.

10.  Niu Cuizhen and Guo X. (2014). Almost Higher Order Stochastic Dominance.   RAIRO-Operations Research. 48(1), 103-107.

11. Guo X., Niu Cuizhen*, Yang Y.P. and Xu W.L. (2015). Empirical Likelihood for  Single Index Model with Missing Covariates at Random. Statistics. 49(3), 588-601.

12. Xia Q., He K. and Niu Cuizhen. (2017). A Model-Adaptive Test for Parametric Single-Index Time Series Models. Journal of Time Series Analysis. In Press.

13.  Yu W., Niu Cuizhen and Xu W.L. (2014). An Empirical Likelihood Inference for the Coefficient Difference of a Two-sample Linear Model with Missing Response Data. Metrika, 77(5), 675-693.

14. Liang R.B., Niu Cuizhen, Xia Q. and Zhang Z.Q. (2015). Nonlinearity Testing and Modeling for Threshold Moving Average Models. Journal of Applied Statistics.42(12), 2614-2630.

 

Research Grants

1. NSFC, Two classes of constraints testing problems for the conditional distribution of random errors in regression models, No. 11701034),2018.01-2021.12

2. China Postdoctoral Science Foundation,(No. 2016M600951),2016.11-2018.7.

3. NSFC, Probability Sampling Design and Its Statistical Inference.No. 11471335),2015.01-2018.12.

 




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