Statistical inference under multiterminal data compression

Author

Han, Te Sun ; Amari, Shun-Ichi

Author_Institution

Graduate Sch. of Inf. Syst., Univ. of Electro-Commun., Tokyo, Japan

Volume

44

Issue

6

fYear

1998

fDate

10/1/1998 12:00:00 AM

Firstpage

2300

Lastpage

2324

Abstract

This paper presents a survey of the literature on the information-theoretic problems of statistical inference under multiterminal data compression with rate constraints. Significant emphasis is put on problems: (1) multiterminal hypothesis testing, (2) multiterminal parameter estimation and (3) multiterminal pattern classification, in either case of positive rates or zero rates. In addition, the paper includes three new results, i.e., the converse theorems for all problems of multiterminal hypothesis testing, multiterminal parameter estimation, and multiterminal pattern classification at the zero rate

Keywords

constraint theory; data compression; information theory; parameter estimation; pattern classification; reviews; statistical analysis; converse theorems; information-theoretic problems; multiterminal data compression; multiterminal hypothesis testing; multiterminal parameter estimation; multiterminal pattern classification; positive rates; rate constraints; review; statistical inference; zero rates; Data compression; Decoding; Information systems; Information theory; Parameter estimation; Pattern classification; Statistics; Sun; Tellurium; Testing;

fLanguage

English

Journal_Title

Information Theory, IEEE Transactions on

Publisher

ieee

ISSN

0018-9448

Type

jour

DOI

10.1109/18.720540

Filename

720540