simplest divergence is squared Euclidean distance (SED), and divergences can be viewed as generalizations of SED. The other most important divergence is relative...

In probability theory and statistics, the Jensen–Shannon divergence, named after Johan Jensen and Claude Shannon, is a method of measuring the similarity...

In mathematics, specifically statistics and information geometry, a Bregman divergence or Bregman distance is a measure of difference between two points...

theory Divergence (statistics), a measure of dissimilarity between probability measures Bregman divergence f-divergence Jensen–Shannon divergence Kullback–Leibler...

In mathematical statistics, the Kullback–Leibler (KL) divergence (also called relative entropy and I-divergence), denoted D KL ( P ∥ Q ) {\displaystyle...

The Great Divergence or European miracle is the socioeconomic shift in which the Western world (i.e. Western Europe along with its settler offshoots in...

context of structural equation models Deviance (statistics) Deviation (statistics) Divergence (statistics) Deviance (disambiguation) Deviation (disambiguation)...

Statistics (from German: Statistik, orig. "description of a state, a country") is the discipline that concerns the collection, organization, analysis,...

Bose–Einstein statistics has also been used as a method for term weighting in information retrieval. The method is one of a collection of DFR ("Divergence From...

common divergences, such as KL-divergence, Hellinger distance, and total variation distance, are special cases of f {\displaystyle f} -divergence. These...

of divergence measures generalising the Kullback–Leibler divergence. The Rényi divergence of order ⁠ α {\displaystyle \alpha } ⁠ or alpha-divergence of...

In descriptive statistics, summary statistics are used to summarize a set of observations, in order to communicate the largest amount of information as...

correlation Distance sampling Distributed lag Distribution fitting Divergence (statistics) Diversity index Divisia index Divisia monetary aggregates index...

A Stein discrepancy is a statistical divergence between two probability measures that is rooted in Stein's method. It was first formulated as a tool to...

Biostatistics (also known as biometry) is a branch of statistics that applies statistical methods to a wide range of topics in biology. It encompasses...

median. For this reason, the median is of central importance in robust statistics. Median is a 2-quantile; it is the value that partitions a set into two...

In the field of information retrieval, divergence from randomness (DFR), is a generalization of one of the very first models, Harter's 2-Poisson indexing-model...

Sufficient statistic Ancillary statistic Minimal sufficiency Kullback–Leibler divergence Nuisance parameter Order statistic Bayesian inference Bayes' theorem Bayes...

while descriptive statistics (in the mass noun sense) is the process of using and analysing those statistics. Descriptive statistics is distinguished from...

generalized linear models. Deviance can be related to Kullback-Leibler divergence. The unit deviance d ( y , μ ) {\displaystyle d(y,\mu )} is a bivariate...

Ball Divergence (BD) is a novel nonparametric two‐sample statistic that quantifies the discrepancy between two probability measures μ {\displaystyle \mu...

Rota, Mauro; Weisdorf, Jacob (December 2020). "Italy and the Little Divergence in Wages and Prices: New Data, New Results". The Journal of Economic History...

approximation error with, for example, the Kullback–Leibler divergence, Bregman divergence, and the Hellinger distance. With indefinitely large samples...

Carreira-Perpiñán and Geoffrey Hinton (2005). On contrastive divergence learning. Artificial Intelligence and Statistics. Hinton, G. (2009). "Deep belief networks". Scholarpedia...

the similarity between two probability distributions. It is a type of f-divergence. The Hellinger distance is defined in terms of the Hellinger integral...

In statistics, correlation or dependence is any statistical relationship, whether causal or not, between two random variables or bivariate data. Although...

Statistics, in the modern sense of the word, began evolving in the 18th century in response to the novel needs of industrializing sovereign states. In...

In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when...

Demographic statistics are measures of the characteristics of, or changes to, a population. Records of births, deaths, marriages, immigration and emigration...

learning Statistical mechanics Biology Statistics Mathematical finance Ruppeiner geometry Kullback–Leibler divergence Stochastic geometry Stochastic differential...