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学术报告
学术报告
澳门新葡新京官方网站百年校庆澳门新葡新京系列学术报告之三十九 美国密西根州立大学和清华大学杨立坚教授学术报告及系列讲座通知
澳门新葡新京:苏迪企业??发布时间:2019-07-12?? 浏览次数:550

应澳门新葡新京田波平教授的邀请,受国家外专局和国际合作部的大力支撑(国家级外专项目-国家重大科技专项外国人才引进计划,项目编码:110000202120180027),清华大学统计学研究中心杨立坚教授将于2019715日至719日来我校进行学术与教学交流,并作系列学术报告和学术讲座。欢迎相关专业广大师生参加。具体信息如下:

  

1)学术报告

主题:Estimation and Inference for Generalized Geoadditive Models

时间:2019715  16:00-17:30

地点:格物楼503

摘要:In many application areas, data are collected on a count or binary response with spatial covariate information. In this article, we introduce a new class of generalized geoadditive models (GGAMs) for spatial data distributed over complex domains. Through a link function, the proposed GGAM assumes that the mean of the discrete response variable depends on additive univariate functions of explanatory variables and a bivariate function to adjust for the spatial effect. We propose a two-stage approach for estimating and making inferences of the components in the GGAM. In the first stage, the univariate components and the geographical component in the model are approximated via univariate polynomial splines and bivariate penalized splines over triangulation, respectively. In the second stage, local polynomial smoothing is applied to the cleaned univariate data to average out the variation of the first-stage estimators. We investigate the consistency of the proposed estimators and the asymptotic normality of the univariate components. We also establish the simultaneous confidence band for each of the univariate components. The performance of the proposed method is evaluated by two simulation studies. We apply the proposed method to analyze the crash counts data in the Tampa-St. Petersburg urbanized area in Florida.

  

2)系列学术讲座

讲座地点:诚意楼202

报告人:北京大学张慧铭博士

12019714 14:00-16:30 “Asymptotic StatisticsM and Z Estimators”

报告人:清华大学杨立坚教授

讲座主题:非参数与半参数统计推断

22019716 08:30-12:00 “核回归方法的背景,直观说明,和渐近正态分布,最优窗宽选择

32019717 08:30-12:00 “核回归估计的一致收敛速度,离散化与截断

42019717 15:00-17:00 “边界问题,高阶核,局部线性与局部多项式回归

52019718 08:30-12:00 “多元核回归,维数的祸根,可加模型

  

专家概况:

杨立坚,清华大学长聘教授。 1987年获北京大学数学理学士,1995年获北卡罗来纳大学教堂山分校(University of North Carolina at Chapel Hill)统计博士,1995-1997年在柏林洪堡大学(Humboldt Universit?t zu Berlin)从事统计与计量经济学博士后研究。历任密西根州立大学统计与概率系(Michigan State University Department of Statistics and Probability)助理教授(1997-2001)、终身副教授(2001-2006)、终身正教授(2006-2014)、研究生主任(Graduate Director, 2007-2010),苏州大学特聘教授、高等统计与计量经济中心主任期间(2011-2016)。先后当选为国际统计学会会员(Elected Member, International Statistical Institute),美国统计协会会士(Elected Fellow, American Statistical Association),国际数理统计学会会士(Elected Fellow, Institute of Mathematical Statistics)。曾任统计SCI期刊Computational Statistics》、《Statistica Sinica》、《Journal of Nonparametric Statistics》、《Journal of Business and Economic Statistics副编审Associate EditorSankhyā正编审(Editor)。研究方向包括时间序列,函数型及高维数据的统计推断,以及统计学对经济学、金融学、农学、食品科学、地理学和遗传学的应用。

  

张慧铭,北京大学统计学博士生。研究兴趣:高维统计和概率,函数型数据,与计数数据和计数过程相关的统计模型,无穷可分与 Lévy 过程。

  


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