The frequency of pattern occurrence in random walks

In the past decade, the use of ordinal patterns in the analysis of time series and dynamical systems has become an important tool. Ordinal patterns (otherwise known as a permutation patterns) are found in time series by taking $n$ data points at evenly-spaced time intervals and mapping them to a len...

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Main Authors: Sergi Elizalde, Megan Martinez
Format: Article
Language:English
Published: Discrete Mathematics & Theoretical Computer Science 2015-01-01
Series:Discrete Mathematics & Theoretical Computer Science
Subjects:
Online Access:https://dmtcs.episciences.org/2476/pdf
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author Sergi Elizalde
Megan Martinez
author_facet Sergi Elizalde
Megan Martinez
author_sort Sergi Elizalde
collection DOAJ
description In the past decade, the use of ordinal patterns in the analysis of time series and dynamical systems has become an important tool. Ordinal patterns (otherwise known as a permutation patterns) are found in time series by taking $n$ data points at evenly-spaced time intervals and mapping them to a length-$n$ permutation determined by relative ordering. The frequency with which certain patterns occur is a useful statistic for such series. However, the behavior of the frequency of pattern occurrence is unstudied for most models. We look at the frequency of pattern occurrence in random walks in discrete time, and we define a natural equivalence relation on permutations under which equivalent patterns appear with equal frequency, regardless of probability distribution. We characterize these equivalence classes applying combinatorial methods.
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spelling doaj.art-a6b6ad6e582d419f9787f27010ebb6c22024-03-07T15:01:26ZengDiscrete Mathematics & Theoretical Computer ScienceDiscrete Mathematics & Theoretical Computer Science1365-80502015-01-01DMTCS Proceedings, 27th...Proceedings10.46298/dmtcs.24762476The frequency of pattern occurrence in random walksSergi Elizalde0Megan Martinez1Department of Mathematics [Dartmouth]Department of Mathematics [Dartmouth]In the past decade, the use of ordinal patterns in the analysis of time series and dynamical systems has become an important tool. Ordinal patterns (otherwise known as a permutation patterns) are found in time series by taking $n$ data points at evenly-spaced time intervals and mapping them to a length-$n$ permutation determined by relative ordering. The frequency with which certain patterns occur is a useful statistic for such series. However, the behavior of the frequency of pattern occurrence is unstudied for most models. We look at the frequency of pattern occurrence in random walks in discrete time, and we define a natural equivalence relation on permutations under which equivalent patterns appear with equal frequency, regardless of probability distribution. We characterize these equivalence classes applying combinatorial methods.https://dmtcs.episciences.org/2476/pdfpermutation patternrandom walktime series analysisordinal patternpattern frequency[info.info-dm] computer science [cs]/discrete mathematics [cs.dm]
spellingShingle Sergi Elizalde
Megan Martinez
The frequency of pattern occurrence in random walks
Discrete Mathematics & Theoretical Computer Science
permutation pattern
random walk
time series analysis
ordinal pattern
pattern frequency
[info.info-dm] computer science [cs]/discrete mathematics [cs.dm]
title The frequency of pattern occurrence in random walks
title_full The frequency of pattern occurrence in random walks
title_fullStr The frequency of pattern occurrence in random walks
title_full_unstemmed The frequency of pattern occurrence in random walks
title_short The frequency of pattern occurrence in random walks
title_sort frequency of pattern occurrence in random walks
topic permutation pattern
random walk
time series analysis
ordinal pattern
pattern frequency
[info.info-dm] computer science [cs]/discrete mathematics [cs.dm]
url https://dmtcs.episciences.org/2476/pdf
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