Common and individual structure of brain networks
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发表刊物：
The Annals of Applied Statistics
摘要：
This article focuses on the problem of studying shared- and individual- specific structure in replicated networks or graph-valued data. In particular, the observed data consist of n graphs, Gi , i = 1, . . . , n, with each graph consisting of a collection of edges between V nodes. In brain connectomics, the graph for an individual corresponds to a set of interconnections among brain regions. Such data can be organized as a V ×V binary adjacency matrix Ai for each i, with ones indicating an edge between a pair of nodes and zeros indicating no edge.
备注：
arXiv:1707.06360.
合写作者：
David B. Dunson, Zhengwu Zhang, Lu Wang
卷号：
13
期号：
1
页面范围：
85 -- 112
是否译文：
否
学位：博士学位
学科：统计学
所在单位：数学与统计学院