A. Gibbs, and F. Su. (2002)cite arxiv:math/0209021Comment: To appear, International Statistical Review. Related work at http://www.math.hmc.edu/~su/papers.html.
Abstract
When studying convergence of measures, an important issue is the choice of
probability metric. In this review, we provide a summary and some new results
concerning bounds among ten important probability metrics/distances that are
used by statisticians and probabilists. We focus on these metrics because they
are either well-known, commonly used, or admit practical bounding techniques.
We summarize these relationships in a handy reference diagram, and also give
examples to show how rates of convergence can depend on the metric chosen.
Description
[math/0209021] On choosing and bounding probability metrics
%0 Journal Article
%1 gibbs2002choosing
%A Gibbs, Alison L.
%A Su, Francis Edward
%D 2002
%K bounds convergence probability readings
%T On choosing and bounding probability metrics
%U http://arxiv.org/abs/math/0209021
%X When studying convergence of measures, an important issue is the choice of
probability metric. In this review, we provide a summary and some new results
concerning bounds among ten important probability metrics/distances that are
used by statisticians and probabilists. We focus on these metrics because they
are either well-known, commonly used, or admit practical bounding techniques.
We summarize these relationships in a handy reference diagram, and also give
examples to show how rates of convergence can depend on the metric chosen.
@article{gibbs2002choosing,
abstract = {When studying convergence of measures, an important issue is the choice of
probability metric. In this review, we provide a summary and some new results
concerning bounds among ten important probability metrics/distances that are
used by statisticians and probabilists. We focus on these metrics because they
are either well-known, commonly used, or admit practical bounding techniques.
We summarize these relationships in a handy reference diagram, and also give
examples to show how rates of convergence can depend on the metric chosen.},
added-at = {2020-05-03T17:30:30.000+0200},
author = {Gibbs, Alison L. and Su, Francis Edward},
biburl = {https://www.bibsonomy.org/bibtex/2d786d3204773f2458c1a6a9d5d2b9cdb/kirk86},
description = {[math/0209021] On choosing and bounding probability metrics},
interhash = {fb561d10fc69911515bafceb3fa9977b},
intrahash = {d786d3204773f2458c1a6a9d5d2b9cdb},
keywords = {bounds convergence probability readings},
note = {cite arxiv:math/0209021Comment: To appear, International Statistical Review. Related work at http://www.math.hmc.edu/~su/papers.html},
timestamp = {2020-05-03T17:30:49.000+0200},
title = {On choosing and bounding probability metrics},
url = {http://arxiv.org/abs/math/0209021},
year = 2002
}