Title :
The Universal Measure for General Sources and Its Application to MDL/Bayesian Criteria
Author_Institution :
Dept. of Math., Osaka Univ., Toyonaka, Japan
Abstract :
Summary form only given. We derive the most generalized universal coding and consider its application to the MDL principle.
Keywords :
Bayes methods; encoding; Bayesian Criteria; MDL criteria; minimum description length criteria; universal coding; Channel coding; Data compression; Markov processes; Time series analysis; Radon-Nykodim derivative; Shannon-McMillan-Breiman theorem; minimum description principle; universal coding;
Conference_Titel :
Data Compression Conference (DCC), 2011
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-61284-279-0
DOI :
10.1109/DCC.2011.82
