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题目:Analysis of spatial data with a nested correlation structure

2017/06/29 00:00 科研秘书 点击:[]

报告人:王友乾(You-Gan Wang,澳大利亚昆士兰科技大学)

时间:2017.07.11 09:30----10:30

地点:理科楼LD201

摘要:We study environmental factors that might influence malaria incidence in Afghanistan.However, in modeling spatial data, the existence of spatial correlation between observations must be considered.The basic ingredient of our method is a generalised estimating equations (GEE) of the marginal mean of disease incidence,as a function of the geographical factors and the spatial correlation.We embed a series of GEEs, each reflecting a particular source of spatial correlation, into a larger system of estimating equations. To estimate the spatial correlation parameters, we set up a supplementary set of estimating equations based on the correlation structures induced from the different sources. Simultaneous estimation of the mean and correlation parameters is performed by alternating between the two systems of equations.

报告人简介:王友乾教授1986年毕业于浙江大学数学系,1991年在牛津大学获得统计学博士学位。1998-2002任哈佛大学副教授,2005-2010任澳大利亚联邦科工组首席科学家,2010-2015任澳大利亚昆士兰大学应用统计学首席教授,2015至今任澳大利亚昆士兰科技大学数据科学终身教授。研究兴趣在稳健推断,纵向数据分析,水文学统计模型,资源估计与管理战略评估,死亡率和成长率参数估计,统计模拟与数据分析,相关性数据分析中的模型选择等。在世界顶级统计期刊发表了120多篇文章 (包括 Biometrika, Biometrics, JASA , Annals of Statistics 等顶级统计期刊),谷歌学术引用量已超过2600次.

学院联系人:徐建文

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