Data Depth: Multivariate Statistics and Geometry
This chapter presents several ways to measure the degree of centrality of a point with respect to a multivariate probability distribution or a data cloud. Such degree of centrality is called depth, and it can be used to extend a wide range of univariate techniques that are based on the natural order on the real line to the multivariate setting.
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