A Generalization of B. S. Clarke and A. R. Barron's asymptotics of bayes codes for FSMX sources

研究成果: Article査読

15 被引用数 (Scopus)

抄録

SUMMARY We shall generalize B. S. Clarke and A. R. Barren's analysis of the Bayes method for the FSMX sources. The FSMX source considered here is specified by the set of all states and its parameter value. At first, we show the asymptotic codelengths of individual sequences of the Bayes codes for the FSMX sources. Secondly, we show the asymptotic expected codelengths. The Bayesian posterior density and the maximum likelihood estimator satisfy asymptotic normality for the finite ergodic Markov source, and this is the key of our analysis.

本文言語English
ページ(範囲)2123-2132
ページ数10
ジャーナルIEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
E81-A
10
出版ステータスPublished - 1998 1 1

ASJC Scopus subject areas

  • Signal Processing
  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Applied Mathematics

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