Keynote Lecture 1: Empirical process theory for statistics
报告人 Speaker：Prof.Jon A. Wellner, Department of Statistics, University of Washington at Seattle
报告时间 Time：2015年6月25日（周四）上午9:00-10:00
报告地点 Place: 苏州大学本部维格堂119
报告简介 Abstract：This talk will cover some of the basics of empirical process theory and the application of the theory to problems in statistics. The focus will be on some of the basic convergence theory and methods together with inequalities for dealing with minimum contrast and maximum likelihood estimators in nonparametric and semiparametric models.
讲座人简介：Jon A. Wellner是美国华盛顿大学西雅图分校统计系教授。Wellner教授是美国统计协会会士，数理统计学院会士，美国科学促进会会士，德国洪堡基金研究奖学金和科研奖金得主，古根海姆奖金得主。Wellner教授的研究兴趣包括统计学大样本理论，经验过程理论与巴拿赫空间的概率论，半参数模型的有效估计理论等，迄今发表了117余篇论文，其中超过30篇在顶级期刊Annals of Statistics, Annals of Probability, Biometrika, Journal of the American Statistical Association。Wellner教授也长期，多次担任Annals of Statistics, Bernoulli, Probability Theory and Related Fields等重要期刊的编委。
详见个人网页：//www.stat.washington.edu/jaw/
About the Speaker: Jon A. Wellner is Professor, Department of Statistics, University of Washington at Seattle. He is Fellow of the American Statistical Association, Fellow of the Institute of Mathematical Statistics, Fellow of the American Association for the Advancement of Sciences, Alexander von Humboldt Foundation Fellow, Winner of Alexander von Humboldt Foundation Research Prize, and John Simon Guggenheim Foundation Fellow. His research interests include large sample theory in statistics, theory of empirical processes and probability in Banach spaces, and efficient estimation for semiparametric models. He has published more than 117 research articles, over 30 of which in top journals Annals of Statistics, Annals of Probability, Biometrika, Journal of the American Statistical Association. Prof. Wellner has served on the editorial boards of many important journals including Annals of Statistics, Bernoulli, Probability Theory and Related Fields.
//www.stat.washington.edu/jaw/