个人资料
教育经历1981.9--1985.7 华中师范大学数学系,获学士学位。 1985.9--1988.7 中国科技大学与安徽大学数学系, 获硕士学位。 1991.9--1994.3 中国科学院应用数学研究所,获博士学位。 工作经历1988.07-1991.09 湖南科技大学数学系,讲师,副教授 1994.03-1996.03 北京大学概率统计系,博士后 1996.03-1997.03 香港大学统计与精算系,博士后 1997.03-1998.12 中国科学院应用数学研究所,副研究员 1998.12-2000.12 香港理工大学会计系,研究员(Research Fellow) 2001.01-2002.10 中国科学院数学与系统科学研究院,基地副研究员 2002.10-2004.09 美国北卡罗莱纳大学(UNC)生物统计系,研究副教授 2004.09-2005.03 中国科学院数学与系统科学研究院,基地副研究员 2005.03-2006.02 中国科学院数学与系统科学研究院,研究员 2006.03-2018.03 中国科学院数学与系统科学研究院,基地研究员 2007.07-2013.09 上海财经大学统计与管理学院,教授,常务副院长 2013.09-2018.03 上海财经大学统计与管理学院,教授,院长 2018.04-2020.07 华东师范大学经济与管理学部,常务副主任 2018.04- 统计交叉科学研究院院长
访问及合作 1997.09-1997.12 香港大学统计与精算系 2001.09-2001.12 香港中文大学统计系 2003.12-2004.01 美国普林斯顿大学(PU)运筹与金融工程系 2004.09-2004.10 香港中文大学统计系 2005.07-2005.09 香港城市大学管理科学系 2006.07-2006.80 香港城市大学管理科学系 个人简介国务院学位委员会第七届统计学科评议组成员,国务院政府特殊津贴专家,新世纪百千万人才国家级人选,国家级专家,国家自然科学基金委杰出青年基金获得者。现任统计交叉科学研究院院长。 教育部应用统计专业硕士教学指导委员会委员,中国优选法统筹法与经济数学研究会副理事长(2014--),全国工业统计教育学会副会长(2018--2022),管理科学与工程学会常务理事(2018-2022)。曾任中国现场统计研究会环境与资源统计分会理事长(2007-2017),中国统计教育学会副会长(2015---2019). 周勇教授长期从事大数据建模与应用、金融计量、数量金融、风险管理,统计学、经济计量学等科学研究工作,取得许多有重要学术价值和影响的研究成果。在复杂数据分析与建模、风险计量与管理、重大(突发)事件及经济结构变化的检测及预报等方面取得有影响的重要研究成果。(许多研究成果处于世界领先水平)。先后承担并完成国家自然科学基金项目和省部级项目19项,主持国家杰出青年基金1 项,国家自然科学基金委重点项目2项,国家重大研究计划“大数据驱动下的管理与决策”重点项目1项,作为骨干成员曾参加国家973重大项目“金融风险控制中的定量分析与计算”、863重大项目和海外杰出青年基金(国内合作人),国家自然科学基金委创新团队项目, 国家自然科学基金委重点项目。曾获得省部级科技奖三项。
在包括国际顶级《Journal of Econometrics》,《Journal of Business and Economic Statistics》等顶级计量经济学杂志和《The Annals of Statistics》、《Journal of The American Statistical Association》,《Biometrika》和《Journal of the Royal Statistical Society, Theory and Methods,Series B》等国际顶级统计学四大杂志上发表学术论文200余篇,其中,SCI/SSCI索引论文160余篇。曾多次应邀在国外开展合作研究、专题演讲或在国际会议中担任主席、组委会主席、成员和大会特邀报告, 研究成果获得了国内外同行的高度肯定。曾多次访问美国普林斯顿大学(Princeton),香港大学,香港中文大学和香港科技大学。 社会兼职
研究方向研究领域
1)统计学:大数据统计分析、复杂数据分析 主要研究方向:大数据分布式计算,复杂数据统计分析,半参数模型统计推断,精准医疗,半监督数据分析,生存分析。 2)经济学:计量经济学、金融计量学 主要研究方向:数量金融、信用风险、经济结构变化与检验,风险度量、因子模型、投资决策;变点检测,金融科技。 3)管理科学与工程 主要研究方向:风险管理、管理统计学,精准营销、商务分析及数据智能 开授课程在此栏目介绍开设课程及人才培养情况,包括博士生,硕士生,以及访问学者等。
一、开设课程情况
二、博士后
三、访问学者 荀 立,长春工业大学 潘伟权,玉林师范学院 潘 娜,湖北财经学院 四、在读研究生情况
1、华东师范大学 博士研究生:李子洋,苏瑾,章梦华,赵志嵩,顾祖瑶,谭涛 硕士研究生:张鸿飞,张金城,周佳艺,陈思维,焦小奇,王宸,唐孟园 2、中国科学院: 蒋中峰,李佳璇,耿俞,崔广源
五、已毕业研究生情况(未完整) 1、中国科学院
2008年毕业 罗羡华 2005级博士,广州大学经济与统计学院,副教授 李长林 2005级博士,金融公司 2009年毕业 马昀蓓 2006级博士,西南财经大学统计学院,常任副教授 2010年毕业 谢尚宇 2006级硕博,对外经济贸易大学金融学院,教授,中银集团(香港) 2011年毕业 刘 旭 2007级博士,上海财经大学统计与管理学院,副教授 赵 目 2008级博士<zhaomu266@163.com>; 中南财经政法大学数学与统计学院,副教授 2012年毕业 田 军 2007级硕博,中信集团 陈雪蓉 2008级博士,西南财经大学统计学院,副教授 2013年毕业 白芳芳 2007级硕博,对外经济贸易大学统计学院,副教授 2014年毕业 林存洁 2009级硕博,中国人民大学统计学院,副教授 2015年毕业 刘 鹏 2010级硕博,英国Kent 大学,副教授 2016年毕业 韦文华 2011级硕博,上海财经大学统计与管理学院、助理教授,恒瑞医药数据分析师 李艳凤 2013级博士,吉林财经大学统计学院,讲师 2017年毕业 樊书琴 2012级硕博,JP Morgen 2018年毕业 无 2019年毕业 赵 玮 2014级硕博,美国Emory 大学博士后 2020年毕业 王天平 2015级硕博生 石药集团统计师 陈兰珏 2015级硕博生 邮蓄银行总行 2021年毕业 郑思明 2016级硕博生 香港中文大学统计学系博士后
李道纪 2003级硕士,美国加州州立大学统计学系,副教授 王晓婧 2005级硕士,University of Connecticut,副教授 舒鑫鑫 2007级硕士,美国UIUC博士生 刘沛欣 2007级硕士,国家外汇管理局中央外汇业务中心(储备管理司) 杨海达 2007级硕士,金融投资公司 栾清淑 2008级硕士,普华永道会计师事务所 姚宏伟 2008级硕士,新华信托 由立华 2009级硕士,中国航空航天总公司 朱丽蓉 2009级硕士,中粮集团 刘 璐 2013级硕士,光大银行
2、上海财经大学
2012年毕业 陈柏成 2008级博士,国家税务总局税务干部进修学院. 2013年毕业 张飞鹏 2009级博士,西安交通大学经济学院,教授 苏 辛 2009级博士,民生证券投资经理 刘玉涛 2009级博士,中央财经大学统计与数学学院,副教授 2014年毕业 张 莉 2010级博士,西北大学经管学院,副教授 邱志平 2010级博士,国立华侨大学数学科学学学院,教授 杨广仁 2010级博士,暨南大学经济学院统计学系主任,教授 刘晓倩 2008级硕博,上海外国语大学国际金融贸易学院,副教授 2015年毕业 王艺馨 2009级硕博,美国华Washiton 大学统计学博士后 刘睿智 2010级硕博,金融公司 陈晓平 2011级博士,福建师范大学数计学院,副教授 施建华 2011级博士,闽南师范大学数学与统计学院,教授 范彩云 2011级博士,上海对外经济贸易大学信息与统计学院,副教授 2016年毕业 刘君娥 2012级博士 王 进 2012级博士 2017年毕业 邵 丽 2012级硕博,广州大学经济与统计学院,讲师 杨 雪 2012级博士,强生制药公司 范奎奎 2011级博士,部队 2018年毕业 潘 婧 2013级硕博,上海证券交易所 张书聪 2013级硕博,对外经济贸易大学统计学院,讲师 厉博城 2014年博士,东北财经大学统计学院,讲师 穆 燕 2013级博士,南京财经大学经济学院,副教授 缪程程 2012年硕博,金融公司 何 迪 2012级硕博,南京大学商学院,讲师 于 渊 2013级博士,山东财经大学统计学院,讲师 苑慧玲 2013级博士,香港大学统计学第,博士后 2019年毕业 孙桂萍 2013级博士,讲师 马秋霞 2013级博士,上海金融学院数学系,讲师 2020年毕业 贺一凡 2015年硕博 香港中文大学统计学系,讲师 管 欣 2015年硕博 中南财经政法大学统计学院,讲师 宋珊珊 2015年硕博 香港中文大学统计学系,博士后 李永明 2016年博士 上绕师范学院,教授,副校长 潘 生 2016年博士 恒瑞医药数据分析师 谭详勇 2016年博士 江西财经大学统计学院,讲师 方月歆 2016年博士 上海师范大学数学与统计学院,讲师
2009年毕业 袁 媛 2007级硕士,东方证券公司 赵 薇 2007级硕士,上海建设银行 2010年毕业 吴 斐 2008级硕士,安徽农业银行、澳大利亚攻读会计硕士 2011年毕业 赵小玲 2008级硕士,江苏省银监会 雷小凤 2009级硕士,中信集团 2012年毕业 熊晓萍 2010级硕士,华宝证券有限责任公司 邓礼英 2010级硕士,江西省邮政公司、电子商务局数据分析中心 2013年毕业 庄雅婷 2011级硕士,浙江省财务厅 白露明 2011级硕士,上海财经大学商学院 2014年毕业 董丹萍 2012级硕士,携程网 林甜甜 2012级硕士,杭州某私募公司 王舒曼 2012级硕士,携程网 郗 同 2012级硕士,苏州银行 刘建宇 2012级硕博,美国华尔街金融投资 2015年毕业 吕 露 2013级硕士,上海大学 李 萍 2013级硕士, 丁 昊 2013级硕士,金融公司 2016年毕业 董淑琴 2013级硕,(硕博转) 周子逸 2013级硕士 2017年毕业 孙 靖 2015年硕士 彭辰逸 205年硕士 2018年毕业 胡锦瑶 2015年硕士 李宣萱 2015年硕士 胡空明 2015年硕士 李佩瑶 2015年硕士 陶律然 2015年硕士
科研项目
学术成果(1) Zheng, S.M. Qin, J. and Zhou, Y. (2021). Effect assessment of age and gender on the incubation period of COVID-19 with mixture regression model. Journal of Data Science. To appear. (2) Li, P. Song, S.S. and Zhou, Y. (2021). Semiparametric additive frailty hazard model for clustered failure time data. Canadian Journal of Statistics. To appear. (3) Fan, C.Y. Lu,W.B. and Zhou, Y. (2021). Testing error heterogeneity in censored linear regression. Computational Statistics and Data Analysis, 161,107207. (4) Jiang, Z.F. Yang, B.Y. Qin, J. and Zhou, Y. (2021). Enhanced empirical likelihood estimation of incubation period of COVID-19 by integrating published information. Statistics in Medicine. 404252-4268. (5) Xun, L. Zhang, G.C.Wang, D.H. and Zhou, Y. (2021) Estimating equation estimators of quantile differences for one sample with length-biased and right-censored data. Statistics and Its Interface, 14, 183-195. ————————2020—————————— (6) Ma, H.J. Zhao,W. and Zhou, Y. *(2020). Semiparametric model of mean residual life with biased sampling data. Computational Statistics and Data Analysis, 142:106826. (7) Song, X.Y., Kim D., Yuan, H.L., Cui, X.Y. Lu, Z.P. Zhou, Y. andWang, Y. (2020). Volatility analysis with realized GARCH-Ito models. Journal of Econometrics, 26,761-788. (8) Chen, L.J. and Zhou, Y. (2020). Quantile regression in big data: a divide and conquer based strategy. Computational Statistics and Data Analysis, 142: 106892. (9) He, Y. F. and Zhou, Y. (2020). Nonparametric and semiparametric estimators of restricted mean survival time under length-biased sampling. Accepted in Lifetime Data Analysis. (10) Xu, D.* and Zhou, Y. (2020). Local composite partial likelihood estimation for length-biased and right-censored data. Journal of Statistical Computation and Simulation, 89 (14), 2661C2667. (11) Xun, L., Li, T. and Zhou, Y. (2020). Estimators of quantile difference between two samples with length-biased and right-censored data. Test, 29, 409-429. ———————— 2019—————————– (12) Liu, Y. T., Zhang, S. C. and Zhou, Y. Semiparametric quantile difference estimation for lengthbiased and right-censored data. Science in China, Mathematics. 62: 1823-1838. (13) Chen, X.*, Chen, Y., Wan, A. and Zhou, Y. (2019). On the asymptotic non-equivalence of efficient-GMM and MEL estimators in models with missing data. Scandinavian Journal of Statistics, 46(2),361-368 (14) Pan, J., Zhang, S. and Zhou, Y. (2019) Variable screening for ultrahigh dimensional censored quantile regression. Journal of Statistical Computation and Simulation, 89 (3), 395C413. (15) Xun, L., and Zhou, Y. (2019) A generalization of Expected Shortfall based capital allocation. Statistics and Probability Letters, 146, 193-199. (16) Zhang, F., Peng, H. and Zhou, Y. (2019) Fine-Gray proportional subdistribution hazards model for competing risks data under length-biased sampling. Statistics and its Interface, 12 (1), 107-122. (17) Wei,W., Zhou, Y. andWan, Alan T. K. (2019) A semiparametric linear transformation model for general biased-sampling and right-censored data. Statistics and its Interface, 12(1), 77-92. (18) Liu, Y., Lin, C. and Zhou, Y. (2019) Nonparametric estimates of conditional quantile residual lifetime for right censored data. Statistics and its Interface, 12 (1), 61-70 (19) Ma, H., Shi, J. and Zhou, Y. (2019) Proportional mean residual life model with censored survival data under case-cohort design. Statistics and its Interface, 12 (1), 21-33. (20) Wang, X., Zhou, Y. and Liu, Y. (2019) Semiparametric varying-coefficient partially linear models with auxiliary covariates. Statistics and its Interface, 11 (4), 587-602. (21) Qiu, Z. P., Wan Alan, T. K.*, Zhou, Y. and Gilbert, P. (2019). Smoothed rank regression for the accelerated failure time competing risks model with missing cause of failure. Statistica Sinica, 29, 23-46. (22) Liu, X.Q., Song, X. Y. and Zhou, Y. (2019). Likelihood ratio-type tests in weighted composite quantile regression of DTARCH models. Science China Mathematics, 62(12), 2571-2590. ———————— 2018—————————– (23) Wei, W. H. Wan, T. K. and Zhou, Y. (2018). Partially linear transformation model for lengthbiased and right-censored data. Journal of Nonparametric Statistics, 30(2), 332-367. (24) He, D., Zhou, Y., and Zou, H. (2018). High-dimensional variable selection with right censored length-biased data. Statistica Sinica, DOI: 10.5705/ss.202018.0089. (25) Lin, C. J., Wei, W. H. * and Zhou, Y. (2018). Semiparametric estimation of treatment effect with density ratio model. Communications in Statistics-Theory and Methods, 14, 3338-3359. (26) Zhang, L. Lin, C. and Zhou, Y. (2018). Generalized method of moments for nonignorable missing data. Statistica Sinica 28, 2107-2124 (27) Fan, C., Ma, H. * and Zhou, Y. (2018). Quantile regression for competing risks analysis under case-cohort design. Journal of Statistical Computation and Simulation, 88(6), 1060-1080. (28) Zhang, S. * and Zhou, Y. (2018). Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations. Journal of Multivariate Analysis, 165, 1-13. (29) Liu, Y., Zhang, S. * and Zhou, Y. (2018). Semiparametric estimation of quantile differences for length-biased and right-censored data. Science in China Mathematics, to appear. (30) Pan, J., Yu, Y., and Zhou, Y. (2018). Nonparametric independence feature screening for ultrahigh dimensional survival data. Metrika, 81, 821-847. (31) Yu, Y. He, D. and Zhou, Y. (2018). Robust model-free feature screening based on modified Hoeffding measure for ultra-high dimensional data, Statistics and Its Interface, 11, 473-489. (32) Zhang, F.*, Zhao. X. and Zhou, Y. (2018). An embedded estimating equation for additive risk model with biased-sampling data. Science in China, Mathematics, 61(8), 1495-1518. (33) Wang, X. J.*, Zhou, Y. and Liu, Y. (2018). Semiparametric varying-coefficient partially linear model with auxiliary covariates. Statistics and Its Interface, 11587-602. (34) Zhang, F. and Zhou, Y. * (2018). Nonparametric quantile estimate for length-biased and right censored data with competing risks. Communications in Statistics-Theory and Methods, 10, 2407- 2424 (35) Zhang S. Z. Pan, J. and Zhou, Y. (2018). Robust conditional nonparametric independence screening for ultrahigh-dimensional data. Statistics and Probability Letters, 143, 95-101. (36) Shi, J. H.*, Ma, H. J. and Zhou, Y. (2018). The nonparametric quantile estimation for lengthbiased and right-censored data. Statistics and probability Letter, 134, 150-158. (37) Fan, C., Ma, H.* and Zhou, Y. (2018). Quantile regression for competing risks analysis under case-cohort design. Journal of Statistical Computation and Simulation, 88(6), 1060-1080. (38) Zhang, S.* and Zhou, Y. (2018). Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations. Journal of Multivariate Analysis, 165, 1-13. (39) Zhang, F. and Zhou, Y. * (2018). Nonparametric quantile estimate for length-biased and rightcensored data with competing risks. Communications in Statistics-Theory and Methods, 10, 2407- 2424 ———————— 2017—————————– (40) Wan, A.*, Xie, S. Y. and Zhou, Y. (2017). A Varying Coefficient Approach to Estimating Hedonic Housing Price Functions and Their Quantiles. Journal of Applied Statistics, 2017(44):1979-1999 (41) Yang X. and Zhou, Y.* (2017). Improve efficiency and reduce bias of Cox regression models for two-stage randomization designs using auxiliary covariates. Statistics in Medicine, 36(11), 1683-1695 (42) Wang, Y. X., Zhou, Z. F., Zhou, X. and Zhou, Y.* (2017). Nonparametric and semiparametric estimation of quantile residual lifetime for length-biased and right-censored data. Canadian Journal of Statistics, 45, 220-250. (43) Fan, C. Lu, W.* Song, R. and Zhou, Y. (2017). Concordance-Assisted Learning for Estimating Optimal Individualized Treatment Regimes. Journal of The Royal Statistical Society Series B, 79, 1565-1582. (44) Ma, H. J.* and Zhou, Y. (2017). Pseudo-likelihood for case-cohort studies under length-biased sampling. Communications in Statistics -Theory and Methods, 46(1), 28-48. (45) Fan, C. Zhang, F.* and Zhou, Y. (2017). Power-transformed linear quantile regression estimation for censored competing risks data. Statistics and its interface, 10, 239-254. (46) Xun, L., Shao, L. and Zhou, Y.* (2017). Efficiency of Estimators for Quantile Difference with Left Truncated and Right Censored Data. Statistics and probability Letter, 121, 29-36. (47) Li, Y. F., Ma, H. J., Wang, D. H.* and Zhou, Y. (2017). Analyzing the general biased data by additive risk model. Science China (Mathematics), 60(4), 685-700. (In Chinese) (48) Zhao, M., Jiang, H.*, and Zhou, Y. (2017), Estimation of percentile residual life function with left truncated and right censored data. Communications in Statistics-Theory and Methods, 46(2), 995-1006. (49) Zhang, L.*, Lin, C. J. and Zhou, Y. (2017). A resampling method by perturbing the estimating functions for quantile regression with missing data. Communications in Statistics- Simulation and Computation, 46(8), 6661-6671. (50) Cui, X.* and Zhou, Y. (2017). Estimated conditional score function for missing mechanism model with nonignorable nonresponse. Science in China (Mathematics), 60(7), 1197-1218. ————————- 2016—————————– (51) Bai, F. F., Huang, J. and Zhou,Y. (2016). Semiparametric inference of mean residual life model with right censored and length-biased data. Statistica Sinica, 26 1129-1158 (52) Shao, L. Yu, Y. and Zhou,Y.* (2016). Sure feature screening for high-dimensional dichotomous classification. Science in China: Mathematics, 59(2), 2527-2542. (53) Qiu, Z. Qin, J., and Zhou, Y. (2016). Composite estimating equation method for accelerated failure time model with length-biased sampling data. Scandinavian Journal of Statistics, 43, 396- 415. (54) Chen, X.*, Liu, Y., Sun, J. and Zhou,Y. (2016). Semiparametric Quantile Regression Analysis of Right-censored and Length-biased Failure Time Data with Partially Linear Varying Effects. Scandinavian Journal of Statistics, 43(4), 921 -938 (55) Chen,X.*, Tang, N. and Zhou,Y.(2016). Quantile regression of longitudinal data with informative observation times. Journal of Multivariate Analysis, 144, 176-188. (56) Wei, W. H.* and Zhou, Y. Zhou,Y. Semiparametric Maximum Likelihood Estimation for a Twosample Density Ratio Model with Right Censored Data. Canadian Journal of Statistics, 44, 58-81. (57) Ma, H., Qiu, Z. P. and Zhou,Y. (2016). Semiparametric analysis of transformation models with length-biased data under case-cohort design. Statistics and Its Interface, 9(2), 213-222 (58) Zhang, F. P., Peng, H.* and Zhou,Y. (2016). Composite partial likelihood estimation for lengthbiased and right-censored data with competing risks. Journal of Multivariate Analysis, 149, 160- 176. (59) Liu, X., Song, X. Y., Xie, S. Y.* and Zhou,Y. (2016), Variable Selection for Gamma Frailty Transformation Models with Application to Diabetic Complications. Canadian Journal of Statistics, 44, 375-394 (60) Lin, C. J.* and Zhou,Y. (2016). Analyzing right-censored and Length-biased data with semiparametric varying-coefficient partially linear model. Journal of Multivariate Analysis, 152, 119-144. (61) Lin, C. J.,* Zhang, L. and Zhou,Y. (2016). Inference on quantile residual life function under right censored data. Journal of Nonparametric Statistics, 28(3), 617-643. (62) Zhao, M.,Wang, Y.*, and Zhou,Y. (2016), Accelerated failure time model with quantile information. Annals of the Institute of Statistical Mathematics, 5(68), 1001-1024. (63) Fan, C. Y., Zhang, F. P.* and Zhou, Y. (2016). Power-Transformed Linear Regression on Quantile Residual Life For Censored Competing Risks Data, Communications in Statistics- Theory and Methods, 45, 5884-5905 —————————-2015———————————- (64) Zhang, F.*, Fan, C. and Zhou, Y. (2015). Nonparametric quantile inference for cause-specific residual life function under length-biased sampling. Acta Mathematicae Applicatae Sinica, English Series, Accepted. (65) Chen X. R., Wan, T. K. Alan and Zhou,Y.(2015). Efficient Quantile Regression Analysis with Missing Observations. Journal of the American Statistical Association, 110, 723-741. (66) Lin, C. J.*, Zhang, L. and Zhou, Y. (2015). Conditional quantile residual lifetime models for right censored data. Lifetime Data Analysis, 21, 75-96. (67) Xie, S. Y.,Wan, A. and Zhou,Y. (2015), A Varying-coefficient Approach to Estimating Regression Quantiles with Censored Observations. Computational Statistics and Data Analysis, 88, 154-172. (68) You, J., Wan, A.* Liu, S. and Zhou,Y.(2015) A varying-coefficient approach to estimating multilevel clustered data models. Test, 24, 417-440. (69) Wang, Y. X.*, Liu, P. and Zhou,Y. (2015). Quantile residual lifetime for left-truncated and rightcensored data. Science in China: Mathematics, 58(6), 1217-1234. (70) Ma, H. J. Zhang, F. and Zhou,Y. (2015). Semiparametric analysis of the additive risk model with length-biased data. Statistics and Probability Letters, 96, 45-53. (71) Liu, P., Wang, Y. and Zhou,Y.* (2015). Quantile Residual Lifetime with Right-Censored and Length-Biased Data. Annals of the Institute of Statistical Mathematics, 67, 999-1028. (72) Tian. G. L. Ma, H. J.* Zhou, Y. and Deng, D. (2015). Generalized endpoint-inflated binomial model. Computational Statistics and Data Analysis, 89, 97-114. (73) Qiu Z. P., Chen X. P. and Zhou, Y.* (2015). A kernel-assisted imputation estimating method for the additive hazards model with missing censoring indicator. Statistics and Probability Letters, 98, 89-97. (74) Shi, J. H., Chen X. P.* and Zhou, Y. (2015). The strong representation for the nonparametric estimator of length-biased and right-censored data. Statistics and Probability Letters, 104, 49-57. (75) Ma, H. J., Fan, C. Y.* and Zhou, Y. (2015). Estimating equation methods for quantile regression with length-biased and right censored data (in Chinese). Science in China: Mathematics, 45, 1981- 2000. (76) Zhang, L.*, Liu, P., and Zhou, Y. (2015). Smoothed estimator of quantile residual lifetime for light Censored data. Journal of System Science and Complexity, 28, 1374-1388. (77) Chen, X. P., Shi, J. H., and Zhou, Y.* (2015). Monotone rank estimation of transformation models with length-biased and right-censored data. Science in China: Mathematics, 58(10), 2055-2068. (78) Qiu, Z. P.* and Zhou, Y. (2015). Partially linear transformation models with varying coefficients for multivariate failure time data. Journal of Multivariate Analysis, 142, 144-166. (79) Ma, H. J. *, Zhang, F. P. and Zhou, Y. (2015). Composite estimating equation approach for additive risk model with length-biased and right-censored data. Statistics and Probability Letters, 96, 45-53. ————————–2014———————————- (80) Chen, X.,Wan, A.* and Zhou,Y.(2014). A quantile varying-coefficient regression approach to length-biased data modeling. Electronic Journal of Statistics, 8, 2514-2540. (81) Liu, X., Jiang, H. and Zhou,Y.(2014). Local empirical likelihood inference for varying-coefficient density-ratio models based on case-control data. Journal of the American Statistical Association, 107, 635-646. (82) Lin, C. J.* and Zhou,Y.(2014). Analyzing Right-Censored and Length-Biased Data with Varying- Coefficient Transformation Model. Journal of Multivariate Analysis, 130, 45-63. (83) Lin, C. J.* and Zhou,Y.(2014). Inference for the Treatment Effects in Two Sample Problems with Right-Censored and Length-Biased Data. Statistics and Probability Letters, 90, 17-24. (84) Yang, G. and Zhou,Y.*(2014). Semiparametric varying-coefficient study of mean residual life models. Journal of Multivariate Analysis, 128, 226-238. (85) Yang, G., Huang, J. and Zhou,Y.*(2014). Concave group methods for variable selection and estimation in high-dimensional varying coefficient models. Science in China: Mathematics, 57(10), 2073-2090 (86) Xie, S. Y., Zhou,Y. and Wan, T. K. Alan. (2014). A Varying-coefficient Expectile Model for Estimating Value at Risk. Journal of Business & Economic Statistics, 32, 576-592. (87) Bai, F. F., Huang, J. and Zhou,Y.*(2014). Semiparametric estimation of treatment effects in the two sample problem with censored data. Statistica Sinica, 24, 121-146. (88) Qiu, Z. P. Neeta, M. and Zhou,Y.*(2014). Weighted estimator for the linear transformation models with multivariate failure time data. Communications in Statistics-Theory and Methods, 43(16), 3516-3535. (89) Ma, Y. B., Wan, T. K. Alan*, Chen, X. R. and Zhou,Y. (2014). On estimation and inference in a partially linear hazard model with varying coefficients. Annals of the Institute of Statistical Mathematics, 66, 931-960. (90) Shi, J. H.*, Chen, X. P. and Zhou,Y.(2014). The consistency of estimator under fixed design regression model with NQD errors. Journal of Inequalities and Applications, 2014(1), 92, 1-12. (91) Shi, X. J., Liu, J., Huang, J., Zhou,Y., Shia, B. C. and Ma, S. G.* (2014). Integrative analysis of high-throughput cancer studies with contrasted penalization. Genetic Epidemiology, 38(2), 144- 151. Shi, X. J., Liu, J., Huang, J., Zhou,Y., Xie, Y. and Ma, S. G.* (2014). A penalized robust method for identifying gene-environment interactions. Genetic Epidemiology, 38(3), 220-230. (93) Shi, X. J., Shen, S., Liu, J., Huang, J., Zhou,Y. and Ma, S. G.* (2014) Similarity of Markers Identified from Cancer Gene Expression Studies: Observations from GEO. Briefing in Bioinformatics, 15(5), 671-684. (94) Zhang, F. P. Chen, X. R. and Zhou,Y.*(2014). Proportional hazards model with varying coefficients for length-biased data. Lifetime Data Analysis, 20(1), 132-157. (95) Ai, C. R. You, J. H. and Zhou,Y.(2014). Estimation of fixed effects panel data partially linear additive regression models. Econometric Journal, 17, 83-106. —————————- 2013 —————————– (96) You, J. Zhou,Y. and Chen, G.* (2013). Statistical inference of multivariate partially linear regression models. The Canada Journal of Statistics, 40(3),1-22. (97) Zhang, F. P. Chen, X. R. and Zhou, Y. * (2013). Proportional hazards model with varying coefficients for length-biased data. Lifetime Data Analysis, 20, 132-157. (98) Zhang, F.* and Zhou, Y. (2013). Analyzing left-truncated and right-censored data under Cox models with long-term survivors. Acta Mathematicae Applicatae Sinica, English Series, 29, 241- 252. (99) Zhao, M., Jiang, H. M.* and Zhou,Y. (2103). L1-deficiency of the sample quantile estimator with espect to a kernel quantile estimator. Statistics and Probability Letter, 83, 2399-2406. (100) You, J. Zhou,Y. and Chen, G.* (2013). Statistical inference of multivariate partially linear regression models. The Canada Journal of Statistics, 40(3), 1-22. —————————–2012——————————— (101) Chen, K.,Lin, H. and Zhou,Y. (2012). Efficient estimation for the Cox model with varying coefficients. Biometrika, 99, 379-392. (102) Chen, X. R.*, Zhou,Y. (2012). Quantile Regression for Right-Censored and Length-Biased Data. Acta Mathematicae Applicatae Sinica, 28(3), 443-46. (103) Yuan, Y., You, J. H. and Zhou,Y.* (2012). Efficient estimation of seemingly unrelated additive nonparametric regression models. Journal of System Science and Complex, 26(4), 595-608 —————————-2011——————————— (104) Zhou,Y. Wan, Alan and Yuan, Y.* (2011). Combiningleast-squaresandquantileregressions. Journal of Planning and Statistical Inference, 141, 3814-3828. (105) Liu, X. Q. and Zhou,Y. (2011). Estimation and Comparative Analyses of ES in Risk Measure with application. System Engineering Theory and Practice, 31(4), 631-642. (106) Liu, X.* Liu, P. X. and Zhou,Y. (2011). Distribution Estimation with Auxiliary Information for Missing Data. Journal of Planning and Statistical Inference, 141, 711-724. (107) You. J. Zhou, X.* and Zhou,Y. (2011). Series Estimation in Partially Linear In-slide Regression Models. Scandinavian Journal of Statistics. 38(1), 89-107. (108) Ai, C.R., You, J.* and Zhou,Y. (2011). Statistical inference using a weighted difference-based series approach for partially linear regression models. Journal of Multivariate Analysis, 31(2), 601-618. —————————2010——————————— (109) Zhou,Y., Wan, Alan*, Xie, S. Y. and Wang, X. J. (2010). Wavelet analysis of change-points in a non-parametric regression with heteroscedastic variance. Journal of Econometrics. 159, 183-201. [SSCI] (110) You, J. Zhou, X.* and Zhou,Y. (2010). Statistical inference for panel data semiparametric partially linear regression models with heteroscedastic errors. Journal of Multivariate Analysis, 101,1079- 1101. (111) Luo, X. Li,Y. Ma, Y. and Zhou. Y. (2010). Varying-Coefficient Partially Linear Models with Censored Data. Acta Mathematica Scientia, 26(1), 79-92. [EI] (112) Gong, R. B.; Ma, Y. B.* and Zhou,Y. (2010). Confident estimation for density of a biological population based on line transect sampling. Acta Math. Appl. Sin. Engl. Ser. 26(1), 79–92. ————————–2009————————————– (113) Zhou,Y. Wang, X. and You, J.* (2009). Strong Convergence Rates of Several Estimators in Semiparametric Varying-Coefficient Partially Linear Models, Acta Mathematica Sinica, 29B(5),1113- 1127. (114) Fan, J., Zhou,Y.*, Cai, J. and Chen, M. (2009). Gaining efficiency via weighted estimators for multivariate failure time data. Science in China Series A: Mathematics, 52(6), 1113-1138. (115) Zhou,Y.* and Liang H. (2009). Statistical inference for semi-parametric varying-coefficient partially linear models with error-prone linear covariates. The Annals of Statistics, 37(1), 427-458. (116) Luo, X.,Yang, Z. and Zhou,Y. (2009). Nonparametric Estimation of the Production Function with Time-Varying Elasticity Coefficients (in Chinese). Journal of System Engineering and Practice, 29(4), 114-149. —————————2008————————————– (117) Zhou,Y. Xie, S. and Yuan, Y. (2008). Statistical Inference of Default Probability in Credit Risk Models. Journal of System Engineering and Practice, 28(8), 206-214. (118) Zhou,Y., Wan, T.K. Alan and Wang, X. J. (2008). Estimating equations inference with missing data. Journal of the American Statistical Association, 103, 1187-1199. (119) Liang, H.* and Zhou,Y. (2008). Semi-parametric inference for ROC curves with censoring. Scandinavian Journal of Statistics 35, 212-227. (120) Chen, G. M. Choi, Y. and Zhou, Y.* (2008). Detections of changes in return by a wavelet smoother with conditional heteroscedastic volatility. Journal of Econometrics, 143, 227-262. (121) Guosheng Yin, Hui Li, Donglin Zeng and Zhou, Y. (2008). Partially Linear Additive Hazards Regression With Varying Coefficients. Journal of the American Statistical Association, 103, 1200- 1213. With corrected in Journal of the American Statistical Association,103, 1729-1729. (122) Li, Y.* Yang, S. and Zhou,Y. (2008). Consistency and uniformly asymptotic normality of wavelet estimator in regression model with associated samples. Statistics and Probability Letters, 78, 2947- 2956. ————————–2007 ——————————- (123) Cai, J., Fan, J. Zhou, H. and Zhou,Y. (2007). Marginal hazard models with varying-coefficients for multivariate failure time data. The Annals of Statistics, 35(1), 324-354. [SCI] (124) You, J.* Chen, G. and Zhou,Y. (2007). Statistical Inference of Partially Linear Regression Models with Heteroscedastic Errors. Journal of Multivariate Analysis, 98(8), 1539-1557. [SCI] (125) Li, H. Yin, G. and Zhou,Y. (2007). Local likelihood with time-varying additive hazards model. Canadian Journal of Statistics, 35(2), 321-337. [SCI] (126) Luo, X. H., Li, Y.; Zhou,Y. and Yang, Z. H. (2007). Semiparametric varying-coefficient partially linear models with longitudinal data. (Chinese) Acta Math. Appl. Sin. 30(3), 540–554. (127) You, J. Xie, S. and Zhou,Y.* (2007). Two-stage estimation for seemingly unrelated nonparametric regression models. Journal of System Science & Complexity, 20, 509-520. ————————-2006———————————– (128) Zhou,Y.* Wu, G. and Li, D. (2006). A kernel-type estimator of a quantile function under randomly truncated data. Acta Mathematica Sinica, (English Ed.), 26B, 585-594. [SCI] (129) You, J. Chen, G. M. and Zhou,Y. (2006). Block empirical likelihood for longitudinal partially linear regression models. Canadian Journal of Statistics, 34(1), 79-96.[SCI] (130) You, J. H. and Zhou,Y. (2006). Empirical likelihood for semiparametric varying coefficient partially linear regression models. Statistics and Probability Letters, 76(4), 412-422. [SCI] (131) Fan, J., Lin, H. and Zhou,Y. (2006). Local partial-likelihood estimation for life time data. The Annuals of Statistics, 34(1), 290-325. [SCI] (132) Wang, Q. and Zhou,Y. (2006). Variable selection by pseudo wavelets in heteroscedastic regression models involving time series. Acta Mathematica Scientia, 26(3), 469-476. [SCI] (133) You, J. H., Zhou, Y. and Chen. G. (2006). Corrected Local Polynomial Estimation in Varying Coefficient Models with Measurement Errors. Canadian Journal of Statistics, 34(3), 391-410. [SCI] (134) Zhou,Y.* and Li, D. (2006). Confidence intervals of variance functions in generalized linear model. Acta Mathematicae Applicatae Sinica,22(3), 353-368. (135) Zhao, Y. M., You, J. and Zhou,Y.* (2006). Truncated estimator of asymptotic covariance matrix in partially linear models with heteroscedastic errors. Acta Mathematicae Applicatae Sinica, 22(4), 565-574. (136) Luo, X. H. Yang, Z. H. and Zhou,Y. (2006). Varying-coefficient regression models with censored data. (Chinese) Acta Math. Appl. Sin., 29(3), 415–427. ————————2005———————————- (137) Zhou,Y. and Liang, H. (2005). Empirical likelihood-based semiparametric inference of the treatment effect in the two-sample problem with censoring. Biometrika, 92, 271-282. (138) Zhou,Y. and Sun, L.Q.* (2005). Sequential Confidence Bands for Quantile Densities Under Truncated and Censored Data. Acta Mathematicae Applicatae Sinica, English Series, 21, 311-322. (139) Chen, G., M. Choi, Y. and Zhou,Y. (2005). Nonparametric estimation of structural change points in volatility models for time series. Journal of Econometrics, 126, 79-114. [SSCI] ———————-2003———————————- (140) Zhou,Y.*, Wu, G. F. and Jiang, X. (2003). Asymptotic behavior of the Lipschitz-1/2 modulus of the PL-process for truncated and censored data. Acta Math. Sin. (Engl. Ser.), 19(4), 729–738. [SCI] (141) Zhou,Y. and Li, H. (2003). The law of logarithm for quantile density function under truncated and censored data. Chinese J. Appl. Probab. Statist.., 19, 7-13. (142) Zhou,Y. and Liang, H. (2003). Asymptotic properties for L1 norm kernel estimator of conditional median under dependence. J. Nonparametric Statist., 15(2), 205-219. (143) Yip, P.* Fang, X. Z. Zhou,Y. and Wang, Y. (2003). A sequential procedure for fixed accuracy estimation of the population size with recapture sampling. Australian New Zealand Journal of Statistics., 45, 207-216. (144) Zhou,Y. (2003). A not on oscillation module of PL- process under right censorship. Acta Math. Sci., 23(2), 155-164. ———————2002——————————- (145) Zhou,Y. andWu, G. F. (2002). Sequential fixed-width confidence intervals of quantiles for truncated and censored data, (in Chinese). Acta Math. Appl. Sinica, 25(2), 204-215. (146) Chen, S. X. Yip, P. and Zhou,Y. (2002). Sequential Estimation in line transect Surveys. Biometrics, 58, 263-269. ——————–2001————————————– (147) Zhou,Y. (2001). Properties of convergence of a smooth quantile estimator for truncated and censored data. Chinese J. Appl. Probab. & Statist., 17(4), 351-358. ———————2000———————————- (148) Zhou,Y. and Liang, H.(2000). Asymptotic normality for L1 norm kernel estimator of conditional median under -mixing dependence. J. Multivariate Anal. 73(1), 136-154. ———————1999——————————– (149) Zhou,Y. and Yip, P. (1999). Nonparametric estimation of quantile density function for truncated and censored data. J. Nonparametric Statist. 12(1), 17-39. (150) Zhou,Y. and Wu, C. F. (1999). Nonparametric estimation of quantile density function for truncated and censored data. Acta Appl. Math. Sinica, 22(4), 614-620. (151) Liang, H. Zhu, L. X. and Zhou,Y. (1999). Asymptotically efficient estimation based on wavelet of expectation value in a partial linear model. Comm. Statist. Theory Methods, 28(9), 2045-2055. (152) Sun, L. Q. and Zhou,Y. (1999). Strong limit theorems for oscillation moduli of PL-process and cumulative hazard process under truncation and censorship with applications. Acta Math. Sinica, 15(2), 235-244. (153) Zhou,Y. (1999). Asymptotic representations for kernel density and hazard function estimators with left truncation. Statist. Sinica, 9(2), 521-533. (154) Zhou,Y., Sun, L.Q. and Yip, P. (1999). The almost sure behavior of the oscillation modulus for PL-process and cumulative hazard process under random censorship. Sci. China Ser. A 42(3), 225–237. (155) Zhou,Y. and Yip, Paul (1999). A strong representation of the product-limit estimator for left truncated and right censored data. J. Multivariate. Anal. 69(2), 261-280. (156) Yip, P.*, Zhou,Y. Lin, D. Y. and Fang, X. Z. (1999). Estimation of population size based on the additive risk model for continuous time recapture experiment. Biometrics, 55(3), 904-908. (157) Lloyd, C. and Zhou,Y. (1999). Kernel estimators of the ROC curve are better than empirical. Statist. Probab. Lett., 44, 221-228. (158) Fang, B. Q., Zhou,Y. and Sun, L. Q. (1999). The prediction of automobile production in China. Sys. Eng. Theory, 111-123. ————————–1998————————————– (159) Zhou,Y. and Zhu, L. X. (1998). Nearest neighbor regression function estimation with censored data. Chinese J. Appl. Probab. Statist., 14(2), 191-202. (160) Sun, L. Q. and Zhou,Y. (1998). Asymptotic properties of some hazard rate function estimators under censored data. (Chinese) Acta Math. Appl. Sinica 21(4), 597–608. (161) Zhou,Y. (1998). The distribution of limit points of increments of local time of theWiener process. Systems Sci. Math. Sci., 11(3), 210-217. (162) Liang, H. and Zhou,Y. (1998). Asymptotic normality in a semiparametric linear model with right-censored data. Comm. Statist. Theory Meth., 27(12), 2895-2905. (163) Sun, L. Q.* and Zhou,Y. (1998). Sequential confidence bands for densities under truncated and censored data. Statist. Probab. Lett. 40(1), 31-41. (164) Liang, H. and Zhou,Y. (1998). A modified estimator of error variance in a partly linear model. Comm. Statist. Theory Meth., 27(4),819-825. (165) Zhou,Y. Sun, L. Q. and Yip, Paul. (1998). The almost sure behavior of oscillation modulus for PL-process and cumulative hazard process and their applications for censored data. Science in China. Series B, 42(3), 225-237. (166) Sun, L. Q. and Zhou,Y. (1998). Strong limit theorems for oscillation moduli of PL-process under left truncation and right censorship. (Chinese) Acta Math. Sinica 41(5), 1113–1120. ———————1997———————– (167) Zhou,Y. and Chen, J. D. (1997). Statistical analysis of a class of degrees of structural reliability in reliability growth tests. (Chinese) Chinese J. Appl. Probab. Statist., 13(3), 283-287. (168) Zhou,Y. (1997). Convergence rates of the increments of empirical processes with two dependent samples and their application to smooth estimation. (Chinese) Acta Math. Sinica, 40(4), 603-615. (169) Zhou,Y. (1997). A note on quantile estimator of the perturbed empirical distribution function. Appl. Math., 10(4), 8-13. (170) Zhou,Y. (1997). Estimation of quantiles of distribution functions in the case of right censored and left truncated data. (Chinese) Acta Math. Appl. Sinica, 20(3), 456-465. (171) Zhou,Y. (1997). Some limit theorems for kernel-smooth quantile estimators. J. Math. Research Exposition., 17(4), 501-507. (172) Zhou,Y. (1997). Strong Approximation for a smooth conditional quantile estimation, (in Chinese). Acta Math. Scientia, 17(3), 245-254. (173) Liu, H. B.and Zhou,Y. (1997). Asymptotic normality of conditional median estimation under dependent assumption. J. Math. Statist. Appl. Probab., 12(1), 15-26. (174) Zhou,Y.(1997). Oscillation modules for product-limit processes under random truncation. Adv. in Math. (China), 26(3), 245–253. —————————-1996————————– (175) Zhou,Y. and Zhu Y. J. (1996). Bahadur representation on smooth nonparametric estimator of a quantile function. Chinese J. Appl. Probab. Statist. 12(2), 139-145. (176) Zhou,Y. (1996). Strong approximation for perturbed empirical processes. Systems Sci. Math. Sci. 9(4), 345-353. (177) Zhou,Y. (1996). The rates of convergence of the oscillation modulus for empirical process under dependence. Chinese. J. Contemp. Math., 17(1), 1-10. (178) Zhou,Y. (1996). Smooth PL-estimator of distribution function under random truncation data. J. Sys. Sci. Math. Sci., 9(3), 205-215. (179) Zhou,Y. (1996). Asymptotic behavior of the smooth product-limit estimator under random censorship, (in Chinese). Acta Math. Sinica 39(2), 238-246. (180) Zhou,Y. (1996). A kernel estimator of a density function in multivariate case from randomly censored data. Acta Math. Sci.(English Ed.), 16(2), 170-180. (181) Zhou,Y. (1996). The rate of convergence of oscillation modulus for product-limit processes under random censorship. Chinese J. Math., 24(2), 113-134. (182) Zhou,Y. (1996). A note on the TJW product-limit estimator for truncated and censored data. Statist. Probab. Lett., 26, 381-352. (183) Zhou,Y. and An, H. Z. (1996). Convergence rate of smoothed PL-estimator from random censorship, (in Chinese). Acta Math. Appl. Sinica 19(1), 89-98. PUBLICATIONS IN REFEREED PROCEEDINGS Zhou,Y. (1992). On the local time Wiener process. Proceedings of the Symposium on Applied Mathematics, sponsored by the CAS, Beijing, 1992. 252-256. Zhou,Y. (1989). Some limit results of the local time ofWiener process and random walk, Limit Theorems in Probability and Statistics (pecs). Colloq. Math. Soc. Janos Bolyal, 57, 509-536. North-Holland, Amsterdam, 1990. 荣誉及奖励
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