An Approach of Randomness of a Sample Based on Its Weak Ergodic Limit

For a Polish Sample Space with a Borel σ-field with a surjective measurable transformation, we define an equivalence relation on sample points according to their ergodic limiting averages. We show that this equivalence relation partitions the subset of sample points on measurable invariant subsets,...

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Main Author: Jaime A. Londoño
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Journal of Probability and Statistics
Online Access:http://dx.doi.org/10.1155/2017/9139645
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author Jaime A. Londoño
author_facet Jaime A. Londoño
author_sort Jaime A. Londoño
collection DOAJ
description For a Polish Sample Space with a Borel σ-field with a surjective measurable transformation, we define an equivalence relation on sample points according to their ergodic limiting averages. We show that this equivalence relation partitions the subset of sample points on measurable invariant subsets, where each limiting distribution is the unique ergodic probability measure defined on each set. The results obtained suggest some natural objects for the model of a probabilistic time-invariant phenomenon are uniquely ergodic probability spaces. As a consequence of the results gained in this paper, we propose a notion of randomness that is weaker than recent approaches to Schnorr randomness.
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institution Kabale University
issn 1687-952X
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spelling doaj-art-3807d166ecc140e783ad1c9bbc07bee32025-02-03T05:46:55ZengWileyJournal of Probability and Statistics1687-952X1687-95382017-01-01201710.1155/2017/91396459139645An Approach of Randomness of a Sample Based on Its Weak Ergodic LimitJaime A. Londoño0Departamento de Matemáticas y Estadística, Universidad Nacional de Colombia, Manizales, ColombiaFor a Polish Sample Space with a Borel σ-field with a surjective measurable transformation, we define an equivalence relation on sample points according to their ergodic limiting averages. We show that this equivalence relation partitions the subset of sample points on measurable invariant subsets, where each limiting distribution is the unique ergodic probability measure defined on each set. The results obtained suggest some natural objects for the model of a probabilistic time-invariant phenomenon are uniquely ergodic probability spaces. As a consequence of the results gained in this paper, we propose a notion of randomness that is weaker than recent approaches to Schnorr randomness.http://dx.doi.org/10.1155/2017/9139645
spellingShingle Jaime A. Londoño
An Approach of Randomness of a Sample Based on Its Weak Ergodic Limit
Journal of Probability and Statistics
title An Approach of Randomness of a Sample Based on Its Weak Ergodic Limit
title_full An Approach of Randomness of a Sample Based on Its Weak Ergodic Limit
title_fullStr An Approach of Randomness of a Sample Based on Its Weak Ergodic Limit
title_full_unstemmed An Approach of Randomness of a Sample Based on Its Weak Ergodic Limit
title_short An Approach of Randomness of a Sample Based on Its Weak Ergodic Limit
title_sort approach of randomness of a sample based on its weak ergodic limit
url http://dx.doi.org/10.1155/2017/9139645
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