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Statistical inference under multiterminal data compression

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2 Author(s)
Te Han ; Graduate Sch. of Inf. Syst., Univ. of Electro-Commun., Tokyo, Japan ; Amari, S.-I.

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

Published in:
Information Theory, IEEE Transactions on  (Volume:44 ,  Issue: 6 )

Date of Publication: Oct 1998

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