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All Sampling Methods Produce Outliers.

Source :
IEEE Transactions on Information Theory; Nov2021, Vol. 67 Issue 11, p7568-7578, 11p
Publication Year :
2021

Abstract

Given a computable probability measure $P$ over natural numbers or infinite binary sequences, there is no computable, randomized method that can produce an arbitrarily large sample such that none of its members are outliers of $P$. In addition, given a binary predicate $\gamma $ , the length of the smallest program that computes a complete extension of $\gamma $ is less than the size of the domain of $\gamma $ plus the amount of information that $\gamma $ has with the halting sequence. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00189448
Volume :
67
Issue :
11
Database :
Complementary Index
Journal :
IEEE Transactions on Information Theory
Publication Type :
Academic Journal
Accession number :
153710518
Full Text :
https://doi.org/10.1109/TIT.2021.3109779