Analysis of spatial data with a nested correlation structure

主讲人 : 王友乾(澳大利亚昆士兰科技大学)

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   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  d 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.

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主讲人简介：

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.