Maybank, Stephen J. (2008) The Fisher-Rao metric. Mathematics Today 44 (6), pp. 255-257. ISSN 1361-2042.
Full text not available from this repository.
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.
| Item Type: | Article |
|---|---|
| School or Research Centre: | Birkbeck Schools and Research Centres > School of Business, Economics & Informatics > Computer Science and Informatics |
| Depositing User: | Administrator |
| Date Deposited: | 02 Feb 2011 12:00 |
| Last Modified: | 17 Apr 2013 12:18 |
| URI: | http://eprints.bbk.ac.uk/id/eprint/1892 |
Archive Staff Only (login required)
 |
Edit/View Item |
