7月3日 美国德克萨斯A&M大学周岚教授学术报告

发布时间:2017-06-30   浏览次数:223


报 告 人:周 岚 教授(美国德克萨斯A&M大学)

报告题目:Invitation to Functional Data Analysis

报告时间:2017年7月3日(周一)下午3:30

报告地点:静远楼1506报告厅

报告人简介:

    周岚,1989年毕业于北京大学概率与统计专业,1997年获美国加州大学伯克利分校(University of California, Berkeley)统计学博士学位,现为美国德克萨斯A&M大学统计系副教授。她的主要研究领域是生物统计、生物信息、函数型数据、及应用统计。在国际一流统计学期刊如Biometrika, JASA发表论文若干篇。

报告摘要:

    Functional data analysis treats an entire function as a data object. Developing related statistical methods has attracted a lot of attention in recent years. In this talk, I will present several projects on functional data analysis, including bivariate functional data modeling, principal component analysis of monotone functions, principal component analysis of 2-d functions over irregular regions, collective estimation of quantile and density functions, and analysis of hierarchical functional data. The emphasis will be on the real application that motivates each problem and the methodological formulation.