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A detection analysis for temporal memory patterns at different time-scales

Fabio Vanni, David Lambert

arXiv 21 Sep 2023 · Econometrics

arXiv:2309.12034 · PDF · DOI · OpenAlex · Extracted main text

Abstract

This paper introduces a novel methodology that utilizes latency to unveil time-series dependence patterns. A customized statistical test detects memory dependence in event sequences by analyzing their inter-event time distributions. Synthetic experiments based on the renewal-aging property assess the impact of observer latency on the renewal property. Our test uncovers memory patterns across diverse time scales, emphasizing the event sequence's probability structure beyond correlations. The time series analysis produces a statistical test and graphical plots which helps to detect dependence patterns among events at different time-scales if any. Furthermore, the test evaluates the renewal assumption through aging experiments, offering valuable applications in time-series analysis within economics.

Citation extraction

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Most heavily cited references

The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.

ReferenceIntensityMentionsSectionsMain text
1Feller, W (1991) An introduction to probability theory and its applications, volume 20.73732100%
2Avila-Akerberg, O. and Chacron, M. J (2011) Nonrenewal spike train statistics: causes and functional consequences on neural coding0.64422100%
3Allegrini, P., Aquino, G., Grigolini, P., Palatella, L., and Rosa, A (2003) Generalized master equation via aging continuous-time random walks0.51121100%
4Ogata, Y (1988) Statistical models for earthquake occurrences and residual analysis for point processes0.51121100%
5Kolmogorov, A (1933) Sulla determinazione empirica di una legge di distribuzione0.40511100%
6Kuehn, N. M., Hainzl, S., and Scherbaum, F (2008) Non-poissonian earthquake occurrence in coupled stress release models and its effect on seismic hazard0.40511100%
7Smirnov, N (1933) Estimate of deviation between empirical distribution functions in two independent samples0.40511100%
8Godreche, C. and Luck, J (2001) Statistics of the occupation time of renewal processes0.40511100%
9Barkai, E (2003) Aging in subdiffusion generated by a deterministic dynamical system0.40511100%
10Akimoto, T., Hasumi, T., and Aizawa, Y (2010) Characterization of intermittency in renewal processes: Application to earthquakes0.40511100%

Showing the top 10 of 100 scored citations.