Type for hierarchical probability model class and universal coding

T. Matsushima; S. Hirasawa

doi:10.1109/ISIT.1998.708924

Type for hierarchical probability model class and universal coding

T. Matsushima, S. Hirasawa

School of Fundamental Science and Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The authors discuss type and sufficient statistics for hierarchical probability models. They go on to consider multistage codes using hierarchical sufficient statistics.

Original language	English
Title of host publication	Proceedings - 1998 IEEE International Symposium on Information Theory, ISIT 1998
Number of pages	1
DOIs	https://doi.org/10.1109/ISIT.1998.708924
Publication status	Published - 1998 Dec 1
Event	1998 IEEE International Symposium on Information Theory, ISIT 1998 - Cambridge, MA, United States Duration: 1998 Aug 16 → 1998 Aug 21

Publication series

Name	IEEE International Symposium on Information Theory - Proceedings
ISSN (Print)	2157-8095

Conference

Conference	1998 IEEE International Symposium on Information Theory, ISIT 1998
Country/Territory	United States
City	Cambridge, MA
Period	98/8/16 → 98/8/21

ASJC Scopus subject areas

Theoretical Computer Science
Information Systems
Modelling and Simulation
Applied Mathematics

Access to Document

10.1109/ISIT.1998.708924

Cite this

Matsushima, T & Hirasawa, S 1998, Type for hierarchical probability model class and universal coding. in Proceedings - 1998 IEEE International Symposium on Information Theory, ISIT 1998., 708924, IEEE International Symposium on Information Theory - Proceedings, 1998 IEEE International Symposium on Information Theory, ISIT 1998, Cambridge, MA, United States, 98/8/16. https://doi.org/10.1109/ISIT.1998.708924

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abstract = "The authors discuss type and sufficient statistics for hierarchical probability models. They go on to consider multistage codes using hierarchical sufficient statistics.",

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ER -

Type for hierarchical probability model class and universal coding

Abstract

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Conference

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