周兴才
周兴才
发布时间:2017-03-08 浏览次数:

 

南京审计大学 统计科学与大数据研究院

 

周兴才 教授,博士,硕士生导师

 

办公室:位育楼202

Email: 270230@nau.edu.cn

通讯地址:南京市浦口区雨山西路86

  编:211815

 

研究领域:函数型数据分析、分位数回归、非参数/半参数模型

教学课程:多元统计分析、概率论与数理统计、线性代数

 

*       学习简历                                                                          

1995.09 - 1999.07   安徽大学  概率统计 理学学士

2004.09 - 2007.04   南京航空航天大学  应用数学 理学硕士

2010.03 - 2012.09   东南大学  应用数学 理学博士

*       工作简历                                                                                  

2012.09 - 2015.12  东南大学 控制科学与工程 博士后

2013.08– 2014.12,加拿大University of Alberta 数学与统计系 博士后

2016.01– 至今,   东南大学 应用经济学 博士后

2016.01– 至今,   南京审计大学

 

*       承担项目

[1] 安徽省自然科学基金面上项目,1408085MA03,复杂相依数据半参数模型非线性小波估计的理论研究及其应用,2014/07-2016/06. (主持)

[2] 中国博士后基金(一等),2013M540402,复杂数据非参数和半参数模型的小波理论及其应用研究,2013/06-2014/09. (主持)

[3] 教育部人文社科青年基金项目,11YJC790311,面板数据含有测量误差的半参数计量经济模型理论研究及其应用,2012/01-2014/12. (主持)

[4] 安徽省高校省级自然科学研究重点项目,KJ2012A270,具有复杂相关结构的半参数模型小波估计的理论研究及其应用,2012/01-2014/12. (主持)

[5] 安徽省自然科学基金面上项目,11040606M04,纵向数据半参数混合效应模型的经验似然推断及其应用,2011/01-2013/12. (主持)

[6] 高等学校博士学科点专项科研基金(博导类)20120092110021,基于Copula 相关函数的近极值事件的统计推断及其应用,2013/01-2015/12. (参加)

[7] 国家自然科学基金面上项目,11171065,具有复杂相关结构的几类统计模型的理论与应用研究,2012/01-2015/12.(参加)

[8] 江苏省自然科学基金面上项目,BK2011058,重尾模型中近极值数据的统计推断及其应用,2011/10-2013/1220万元. (参加)

 

*       发表论文

[1] Zhou, X.C., Xu Y.Z. and Lin, J.G., Wavelet estimation in varying coefficient models for censored dependent data, Statistics & Probability Letters, 2017, 122: 179-189. (SCI)

[2] Zhou X.C. and Lin J.G. Asymptotics of a wavelet estimator in the nonparametric regression model with repeated measurements under a NA error process, Revista de la Real Academia de Ciencias Exactas, Fisicas y Naturales. Serie A--Matematicas, 2015, 109:153-168. (SCI)

[3] Zhou X.C. and Lin J.G. Wavelet estimator in nonparametric regression model with dependent error's structure, Communications in Statistics--Theory and Methods, 2014, 43: 4707-4722. (SCI)

[4] Zhou X.C. and Lin J.G., Empirical likelihood inference in mixture of semiparametric varying coefficient models for longitudinal data with nonignorable dropout, Statistics, 2014, 48: 668-684. (SCI)

[5] Zhou X.C. and Lin J.G. Complete q-order moment convergence of moving average processes under φ-mixing assumptions, Applications of Mathematics, 2014, 59: 69:83. (SCI)

[6] Zhou X.C. and Lin J.G. Empirical likelihood for varying-coefficient semiparametric mixed-effects error-in-variables models with longitudinal data, Statistical Methods and Applications. 2014,23: 51-69. (SCI)

[7] Zhou X.C., Lin J.G. and Yin, C.M.Asymptotic properties of wavelet-based estimator in nonparametric regression model with weakly dependent processes, Journal of Inequalities and Applications 2013, 2013:261.(SCI)

[8] Zhou X.C. and Lin J.G., Asymptotic properties of wavelet estimators in semiparametric regression models under dependent errors, Journal of Multivariate Analysis. 2013, 122: 251-270 (SCI)

[9] Zhou X.C. and Lin J.G., Empirical likelihood inference in mixtures of semiparametric varying coefficient EV models for longitudinal data with nonignorable Dropout, Journal of the Korean Statistical Society, 2013, 42: 215-225. (SCI)

[10] Zhou X.C. and Lin J.G., Semiparametric regression estimation for longitudinal data in models with martingale difference error’s structure. Statistics, 2013, 47(3): 521-534. (SCI)

[11] Zhou X.C. and Lin J.G., On complete convergence for strong mixing sequence, Stochastics 2013, 85(2): 262-271. (SCI)

[12] Zhou X.C. and Lin J.G., A wavelet estimator in a nonparametric regression model with repeated measurements under martingale difference error’s structure, Statistics and Probability Letters, 2012, 82: 1914-1922. (SCI)

[13] Zhou X.C., Tan, C.C. and Lin J.G., On the strong laws for weighted sums of ρ*-mixing random variables, Journal of Inequalities and Applications, 2011, ID 157816, 8 pages. (SCI)

[14] Zhou X.C. and Lin J.G., On moments of the maximum of partial sums of moving average processes under dependence assumptions, Acta Mathematicae Applicatae Sinica, English Series, 2011, 27: 691-696. (SCI)

[15] Zhou X.C. and Lin J.G., Complete moment convergence of moving average processes under ρ-mixing assumption, Mathematica Slovaca, 2011, 61: 979-992. (SCI)

[16] Zhou X.C. and Lin J.G., Strong consistency of estimators in partially linear models for longitudinal data with mixing-dependent structure, Journal of Inequalities and Applications, 2011, 112. (SCI)

[17] Zhou X.C. and Tan C.C., Maximum likelihood estimation of tobit factor analysis for multivariate t-distribution, Communication in Statistics: Simulation and Computation, 2010, 39(1): 1-16. (SCI)

[18] Zhou X.C. Liu X.S. and Hu S.H., Moment consistency of estimators in partially linear models under NA samples, Metrika, 2010, 72(2): 415-432. (SCI)

[19] Zhou X.C., Complete moment convergence of moving average processes under φ-mixing assumptions, Statistics & Probability Letters, 2010, 80(5-6): 285-292. (SCI)

[20] Zhou X.C. and Lin J.G., On complete convergence for arrays of rowwise ρ-mixing random variables and its applications, Journal of Inequalities and Applications, 2010, ID 769201, 12 pages. (SCI)

[21] Zhou X.C. and Liu X.S., The Monte Carlo EM method for estimating multivariate tobit latent variable models, J Statistical Computation & Simulation, 2009, 79(9): 1095-1107.  (SCI)

[22] Zhou X.C. and Liu X.S., The EM algorithm for the extended finite mixture of factor analyzers model, Computational Statistics and Data Analysis, 2008, 52(8): 3939-3953. (SCI, EI)

[23] Zhou X.C. and Liu X.S., The Monte Carlo EM method for estimating multinomial probit latent variable models, Computational Statistics, 2008, 23(2): 277-289. (SCI)

 

*       科研获奖

[1] 2016  安徽省第八届自然科学优秀学术论文三等奖1

[2] 2013  安徽省第七届自然科学优秀学术论文三等奖1

[3] 2010  安徽省第六届自然科学优秀学术论文三等奖2

[4] 2014  铜陵市第六届自然科学优秀学术论文一等奖1

[5] 2010  铜陵市第五届自然科学优秀学术论文一等奖1项、三等奖1

[6] 2003  铜陵市科技进步奖二等奖1