Energy statistics: A class of statistics based on distances

GJ Székely, ML Rizzo - Journal of statistical planning and inference, 2013 - Elsevier
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 …

Energy distance

ML Rizzo, GJ Székely - wiley interdisciplinary reviews …, 2016 - Wiley Online Library
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 …

[PDF][PDF] Testing for equal distributions in high dimension

GJ Székely, ML Rizzo - InterStat, 2004 - Citeseer
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 …

A new test for multivariate normality

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 …

The energy of data

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 …

[PS][PS] Chirality and Symmetry Measures: A Transdisciplinary Review.

M Petitjean - Entropy, 2003 - mdpi.org
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 …

[图书][B] The energy of data and distance correlation

GJ Székely, ML Rizzo - 2023 - taylorfrancis.com
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 …

Extremal probabilities for Gaussian quadratic forms

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≤ …

[HTML][HTML] On some characterizations and multidimensional criteria for testing homogeneity, symmetry and independence

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 …

An image analysis-aided method for redundancy reduction in differentiation of identical Actinobacterial strains

H Sajedi, F Mohammadipanah… - Future …, 2018 - Taylor & Francis
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 …