Multidimensional medians arising from geodesics on graphs

成果类型:
Article
署名作者:
Small, CG
署名单位:
University of Waterloo
刊物名称:
ANNALS OF STATISTICS
ISSN/ISSBN:
0090-5364
发表日期:
1997
页码:
478-494
关键词:
directional-data depth
摘要:
In this paper we introduce a depth function for distributions on graphs that is analogous to recent multivariate definitions. Using the property of geodesic convexity on graphs, a median-like center for distributions on graphs is constructed and applied to ranking data as well as multivariate data spanned by the minimal spanning tree.