Maybank, Stephen J. (2008) The Fisher-Rao metric. Mathematics Today 44 (6), pp. 255-257. ISSN 1361-2042.
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Official URL: http://www.ima.org.uk/mathematics/mathstoday.htm
Abstract
The information in a mass of data is summarised by fitting to the data a probability density function (pdf) chosen from a parameterised family of pdfs. Distances between pairs of pdfs are calculated using the Fisher-Rao metric, which provides a measure of the accuracy with which parameter values can be estimated from the data. Applications of the Fisher-Rao metric include the calculation of Bayesian priors, machine learning and image processing.
Metadata
Item Type: | Article |
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School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
Depositing User: | Administrator |
Date Deposited: | 02 Feb 2011 12:00 |
Last Modified: | 09 Aug 2023 12:30 |
URI: | https://eprints.bbk.ac.uk/id/eprint/1892 |
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