Energy distance is a metric that measures the distance between the distributions of random vectors. Energy distance is zero if and only if the distributions are identical, thus it …
We propose a new nonparametric test for equality of two or more multivariate distributions based on Euclidean distance between sample elements. Several consistent tests for …
GJ Székely, ML Rizzo - Journal of Multivariate Analysis, 2005 - Elsevier
We propose a new class of rotation invariant and consistent goodness-of-fit tests for multivariate distributions based on Euclidean distance between sample elements. The …
GJ Székely, ML Rizzo - Annual Review of Statistics and Its …, 2017 - annualreviews.org
The energy of data is the value of a real function of distances between data in metric spaces. The name energy derives from Newton's gravitational potential energy, which is also a …
Many quantitative measures of the degree of chirality or symmetry of a set have been proposed in the literature. The main approaches from various areas are reviewed: chemistry …
Energy distance is a statistical distance between the distributions of random vectors, which characterizes equality of distributions. The name energy derives from Newton's gravitational …
GJ Székely, NK Bakirov - Probability theory and related fields, 2003 - Springer
Denote by Q an arbitrary positive semidefinite quadratic form in centered Gaussian random variables such that E (Q)= 1. We prove that for an arbitrary x> 0, inf QP (Q≤ x)= P (χ 2 n/n≤ …
F Chen, SG Meintanis, L Zhu - Journal of Multivariate Analysis, 2019 - Elsevier
We propose three new characterizations and corresponding distance-based weighted test criteria for the two-sample problem, and for testing symmetry and independence with …
Aim: To simplify the recognition of Actinobacteria, at different stages of the growth phase, from a mixed culture to facilitate the isolation of novel strains of these bacteria for drug …