导航
个人资料
个人概况
研究方向
开授课程
科研项目
学术成果
荣誉及奖励
周勇
职称： 教授
直属机构： 经济与管理学部
学科：
相关教师
个人资料
部门： 经济与管理学部
性别： 男
专业技术职务： 教授
毕业院校： 中国科学院应用数学所
学位： 博士
学历： 博士研究生
联系电话： 62231005
电子邮箱： yzhou@fem.ecnu.edu.cn
办公地址： 理科大楼A1501
通讯地址： 上海市中山北路3663号华东师范大学经济与管理学部，邮编200062
邮编： 200062
传真：
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
《Journal of Business and Economic Statistics》副主编（2019年9月-2022年10月） 《Canadian Journal of Statistics》副主编（2019年1月—2021年12月） 《Sankhya B》编委（2011年3月-2015年2月） 《The Open Statistics & Probability Journal》编委（2010年7月-2017年6月） 《Journal of the Korean Statistical Society》副主编（2010年3月—2017年2月） 《系统工程理论与实践》编委，（2013年10月-2019年9月、2019年7月-2024年6月） 《计量经济学报》编委（2020年1月-2024年12月） 《中国管理科学》编委（2015年10月-2019年9月，2019年10月-2023年9月） 《数理统计与管理》编委（2017年10月-2021年9日） 《应用数学学报》执行编委（2017年1月-2022年12月） 《应用概率统计》编委（2010年7月-2014年6月） 《计量经济学》副主编（2020年10月-2024年9月） 管理科学与工程学会金融计量与风险管理分会理事长（2017年10月—2023年9月） 全国工业统计教学研究会副会长（2018年10月-2022年9月） 管理科学与工程学会常务理事（2017年10月-2023年9月） 中国数量经济学会常务理事（2010年7月-2017年6月） 中国优选法统筹法与经济数学研究会副理事长(2015年10月-2019年9月，2019年10月-2023年9月) 中国统计教育学会副会长(2014年7月—2019年7月) 国家基金委自然科学基金项目评议专家 中国现场统计研究会环境与资源统计分会理事长(2007-2017)
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、开设课程情况本科生课程《现代统计方法》研究生课程《经验过程》研究生课程《复杂数据分析》研究生课程《机器学习》研究生课程《数据科学导论》研究生课程《高等数理统计》研究生课程《线性模型》研究生课程《广义线性模型》研究生课程《广义估计方程估计方法》本科生课程《数理统计》研究生课程《极限理论》 二、博士后蔺富明 上海财经大学博士后（在职）四川科技工程技术大学王江涛 上海财经大学博士后（在职）华中师范大学经济学院 （已出站）徐 达 上海财经大学博士后（全职）东北师范大学数学与统计学院 （已出站）王培洁 上海财经大学博士后（在职）吉林大学数学与统计学院钱 茜 华东师范大学博士后（在职）四川师范大学管理学院郁淼淼 华东师范大学博士后（全职）上海财经大学统计与管理学院 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 博士毕业生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; 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 Morgen2018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 硕士毕业生 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 博士毕业生 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，讲师硕士毕业生 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
留学回国自然科学基金项目：“复杂多元删失纵向数据统计分析”，（编号：K690011G21）2005-2006年，项目负责人。国家自然科学海外杰出青年基金项目：“金融工程中统计模型的若干前沿问题研究”（编号：10628104），2006-2010年，国内合作人。国家重点基础研究发展计划(973计划)项目“金融风险控制中的定量分析与计算”子项目: “金融创新产品的设计和定价” （编号：2007CB814902），2007-2012年，参与。国家863重大项目“转化医学相关信息的整合与利用”（编号：SQ2007AA02Z336549）子项目“药物临床活性和药代特征的早期评价和预测网络计算系统”，2007-2011年，参与。国家基金委自然科学基金重点项目“复杂数据的统计分析及其应用” （编号：10731010）2007-2011年，协作单位项目负责人。国家自然科学基金委创新研究群体科学基金“随机复杂数据与随机复杂结构的理论方法及其应用”(编号：10721101)，2007-2013年，参与。国家杰出青年基金“风险计量经济模型的建模、预测及应用” （编号：70825004），2008-2012年，项目负责人。中国科学院科学出版基金的项目：“一般估计方程统计方法”，2008-2009年，项目负责人。国家自然科学基金委员会（NSFC）与英国爱丁堡皇家学会（RSE）在管理科学（Management Sciences）领域共同资助两国科学家的合作研究项目，“复杂经济系统中参数与非参数估计”（编号：70911130018），2009-2011年，项目负责人。 国家自然科学基金委基金项目“复杂因素下金融风险度量与风险传染建模与风险管理” （编号：71271128）2012-2017年，负责人。 国家自然科学基金委重点项目“复杂环境下资产定价与风险管理的金融计量理论及其应用” （编号：71331006 ）2013-2018年，项目负责人。 国家自然科学基金委重大研究计划重点项目“金融大数据统计学习理论与方法及其在互联网金融中的应用” （编号：91546202 ）2016-2020年，项目负责人。国家自然科学基金重点项目“经济管理中复杂数据和复杂行为的分析方法及其应用”（编号：71931004 ）2019-2024年， 项目负责人。国家自然科学基金委重大研究计划“大数据驱动下的管理与决策”培育项目“面向大数据的统计分布式计算及隐私保护的理论与方法”（编号：92046005），2021-2022年，项目负责人 国家重点研发计划“油气管网安全运维的大数据分析理论、算法及应用”（批准号：2021YFA1000100，2021YFA1000101），2021.12-2026.11，项目负责人
学术成果
(1) Zheng, S.M. Qin, J. and Zhou, Y. (2021). Effect assessment of age and gender on the incubationperiod 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 clusteredfailure 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 estimationof 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 quantiledifferences 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 biasedsampling 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 analysiswith 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 basedstrategy. Computational Statistics and Data Analysis, 142: 106892.(9) He, Y. F. and Zhou, Y. (2020). Nonparametric and semiparametric estimators of restricted meansurvival 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 andright-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 withlength-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 lengthbiasedand 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 ofefficient-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 censoredquantile 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 modelfor 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 forgeneral 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 residuallifetime 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 survivaldata 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 modelswith 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 theaccelerated 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 compositequantile 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 lengthbiasedand 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 censoredlength-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 withdensity 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 missingdata. Statistica Sinica 28, 2107-2124(27) Fan, C., Ma, H. * and Zhou, Y. (2018). Quantile regression for competing risks analysis undercase-cohort design. Journal of Statistical Computation and Simulation, 88(6), 1060-1080.(28) Zhang, S. * and Zhou, Y. (2018). Variable screening for ultrahigh dimensional heterogeneousdata 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 forlength-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 modifiedHoeffding 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 riskmodel 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 linearmodel with auxiliary covariates. Statistics and Its Interface, 11587-602.(34) 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(35) Zhang S. Z. Pan, J. and Zhou, Y. (2018). Robust conditional nonparametric independencescreening 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 lengthbiasedand 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 undercase-cohort design. Journal of Statistical Computation and Simulation, 88(6), 1060-1080.(38) Zhang, S.* and Zhou, Y. (2018). Variable screening for ultrahigh dimensional heterogeneousdata 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 rightcensoreddata 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 HedonicHousing 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 modelsfor 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 semiparametricestimation of quantile residual lifetime for length-biased and right-censored data. CanadianJournal of Statistics, 45, 220-250.(43) Fan, C. Lu, W.* Song, R. and Zhou, Y. (2017). Concordance-Assisted Learning for EstimatingOptimal 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-biasedsampling. Communications in Statistics -Theory and Methods, 46(1), 28-48.(45) Fan, C. Zhang, F.* and Zhou, Y. (2017). Power-transformed linear quantile regression estimationfor 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 LeftTruncated 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 byadditive 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 withleft 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 estimatingfunctions for quantile regression with missing data. Communications in Statistics- Simulation andComputation, 46(8), 6661-6671.(50) Cui, X.* and Zhou, Y. (2017). Estimated conditional score function for missing mechanism modelwith 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 modelwith 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 dichotomousclassification. Science in China: Mathematics, 59(2), 2527-2542.(53) Qiu, Z. Qin, J., and Zhou, Y. (2016). Composite estimating equation method for acceleratedfailure 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 Analysisof 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 informativeobservation times. Journal of Multivariate Analysis, 144, 176-188.(56) Wei, W. H.* and Zhou, Y. Zhou,Y. Semiparametric Maximum Likelihood Estimation for a TwosampleDensity 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 withlength-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 lengthbiasedand 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 TransformationModels 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 semiparametricvarying-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 rightcensored 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 QuantileResidual Life For Censored Competing Risks Data, Communications in Statistics- Theory andMethods, 45, 5884-5905—————————-2015———————————-(64) Zhang, F.*, Fan, C. and Zhou, Y. (2015). Nonparametric quantile inference for cause-specificresidual life function under length-biased sampling. Acta Mathematicae Applicatae Sinica, EnglishSeries, Accepted.(65) Chen X. R., Wan, T. K. Alan and Zhou,Y.(2015). Efficient Quantile Regression Analysis withMissing 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 rightcensored data. Lifetime Data Analysis, 21, 75-96.(67) Xie, S. Y.,Wan, A. and Zhou,Y. (2015), A Varying-coefficient Approach to Estimating RegressionQuantiles 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 multilevelclustered data models. Test, 24, 417-440.(69) Wang, Y. X.*, Liu, P. and Zhou,Y. (2015). Quantile residual lifetime for left-truncated and rightcensoreddata. 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 withlength-biased data. Statistics and Probability Letters, 96, 45-53.(71) Liu, P., Wang, Y. and Zhou,Y.* (2015). Quantile Residual Lifetime with Right-Censored andLength-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 binomialmodel. 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 forthe 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 nonparametricestimator 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 regressionwith 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 forlight 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 modelswith 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 coefficientsfor 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 foradditive 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 tolength-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-coefficientdensity-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 withRight-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 lifemodels. Journal of Multivariate Analysis, 128, 226-238.(85) Yang, G., Huang, J. and Zhou,Y.*(2014). Concave group methods for variable selection andestimation 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 forEstimating 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 thetwo 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 modelswith 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 ina partially linear hazard model with varying coefficients. Annals of the Institute of StatisticalMathematics, 66, 931-960.(90) Shi, J. H.*, Chen, X. P. and Zhou,Y.(2014). The consistency of estimator under fixed designregression 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 ofhigh-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 methodfor 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 Identifiedfrom 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 coefficientsfor 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 linearadditive regression models. Econometric Journal, 17, 83-106.—————————- 2013 —————————–(96) You, J. Zhou,Y. and Chen, G.* (2013). Statistical inference of multivariate partially linear regressionmodels. 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 coefficientsfor length-biased data. Lifetime Data Analysis, 20, 132-157.(98) Zhang, F.* and Zhou, Y. (2013). Analyzing left-truncated and right-censored data under Coxmodels 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 withespect 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 regressionmodels. 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 additivenonparametric regression models. Journal of System Science and Complex, 26(4), 595-608—————————-2011———————————(104) Zhou,Y. Wan, Alan and Yuan, Y.* (2011). Combiningleast-squaresandquantileregressions. Journalof Planning and Statistical Inference, 141, 3814-3828.(105) Liu, X. Q. and Zhou,Y. (2011). Estimation and Comparative Analyses of ES in Risk Measurewith 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 forMissing 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 RegressionModels. Scandinavian Journal of Statistics. 38(1), 89-107.(108) Ai, C.R., You, J.* and Zhou,Y. (2011). Statistical inference using a weighted difference-basedseries 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 anon-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 partiallylinear 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 withCensored 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 biologicalpopulation 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 SemiparametricVarying-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 formultivariate 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 partiallylinear 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 Functionwith 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 RiskModels. 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 missingdata. Journal of the American Statistical Association, 103, 1187-1199.(119) Liang, H.* and Zhou,Y. (2008). Semi-parametric inference for ROC curves with censoring. ScandinavianJournal of Statistics 35, 212-227.(120) Chen, G. M. Choi, Y. and Zhou, Y.* (2008). Detections of changes in return by a wavelet smootherwith conditional heteroscedastic volatility. Journal of Econometrics, 143, 227-262.(121) Guosheng Yin, Hui Li, Donglin Zeng and Zhou, Y. (2008). Partially Linear Additive HazardsRegression 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 waveletestimator 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-coefficientsfor 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 Modelswith 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 partiallylinear 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 nonparametricregression 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 randomlytruncated 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 partiallylinear 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 partiallylinear 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. TheAnnuals of Statistics, 34(1), 290-325. [SCI](132) Wang, Q. and Zhou,Y. (2006). Variable selection by pseudo wavelets in heteroscedastic regressionmodels 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 VaryingCoefficient 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 linearmodel. Acta Mathematicae Applicatae Sinica,22(3), 353-368.(135) Zhao, Y. M., You, J. and Zhou,Y.* (2006). Truncated estimator of asymptotic covariance matrixin 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 censoreddata. (Chinese) Acta Math. Appl. Sin., 29(3), 415–427.————————2005———————————-(137) Zhou,Y. and Liang, H. (2005). Empirical likelihood-based semiparametric inference of the treatmenteffect 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 Truncatedand 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 pointsin 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 modulusof 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 truncatedand 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 conditionalmedian 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 accuracyestimation of the population size with recapture sampling. Australian New Zealand Journal ofStatistics., 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 truncatedand 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 andcensored 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 conditionalmedian 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 truncatedand censored data. J. Nonparametric Statist. 12(1), 17-39.(150) Zhou,Y. and Wu, C. F. (1999). Nonparametric estimation of quantile density function for truncatedand 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 waveletof 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 andcumulative 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 estimatorswith 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 forPL-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 lefttruncated 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 theadditive 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 censoreddata. Chinese J. Appl. Probab. Statist., 14(2), 191-202.(160) Sun, L. Q. and Zhou,Y. (1998). Asymptotic properties of some hazard rate function estimatorsunder 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 withright-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 andcensored 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 forPL-process and cumulative hazard process and their applications for censored data. Science inChina. Series B, 42(3), 225-237.(166) Sun, L. Q. and Zhou,Y. (1998). Strong limit theorems for oscillation moduli of PL-process underleft 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 reliabilityin 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 dependentsamples 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 censoredand 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. ResearchExposition., 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 underdependent 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 aquantile 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 underdependence. 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 randomlycensored 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 underrandom 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 AppliedMathematics, sponsored by the CAS, Beijing, 1992. 252-256. Zhou,Y. (1989). Some limit results of the local time ofWiener process and random walk, Limit Theoremsin Probability and Statistics (pecs). Colloq. Math. Soc. Janos Bolyal, 57, 509-536. North-Holland,Amsterdam, 1990.
荣誉及奖励
国家统计局优秀科研成果（论文类）二等奖（2012年）《创新统计人才培养模式的实践与探索》上海市教学成果一等奖(2017年，排名1)。
