- News
- Subject and Goals
- Council and Annual Reports
- Contacts and Working Groups
- Lectures and Presentations
- Conferences and Seminars
- Publications
- Application Demos
- International Travels
- Visitors
- Past Events
- E-Synergy Login
SEARCH
MEMBERS OF RESEARCH CENTER
Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
On relations between informations, entropies and Bayesian decisions.
Typ:
Conference paper
Authors:
Vajda I., Zvárová J.
Proceedings name:
Proc. of Prague Stochastics 2006, Marie Hušková and Martin Janžura (eds.).
Publisher:
Matfzypress
Serie:
Praha
Year:
2006
Pages:
709-718
ISBN:
80-86732-75-4
Keywords:
generalized informations and entropies, Shannon information
URL (www page):
attachment1:
JanaIgorPS06.pdf [file]
Anotation:
A class of power entropies is introduced which are concave functions of distributions for positive powers and convex for negative powers. It is shown that the maximal generalized informations are often convex power entropies. The quadratic power entropy is shown to estimate more precisely the Bayes errors than the Shannon entropy.