Analytically solvable autocorrelation function for weakly correlated interevent times

Hang Hyun Jo*

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

3 Citations (Scopus)
125 Downloads (Pure)


Long-term temporal correlations observed in event sequences of natural and social phenomena have been characterized by algebraically decaying autocorrelation functions. Such temporal correlations can be understood not only by heterogeneous interevent times (IETs) but also by correlations between IETs. In contrast to the role of heterogeneous IETs on the autocorrelation function, little is known about the effects due to the correlations between IETs. To rigorously study these effects, we derive an analytical form of the autocorrelation function for the arbitrary IET distribution in the case with weakly correlated IETs, where the Farlie-Gumbel-Morgenstern copula is adopted for modeling the joint probability distribution function of two consecutive IETs. Our analytical results are confirmed by numerical simulations for exponential and power-law IET distributions. For the power-law case, we find a tendency of the steeper decay of the autocorrelation function for the stronger correlation between IETs. Our analytical approach enables us to better understand long-term temporal correlations induced by the correlations between IETs.

Original languageEnglish
Article number012306
Pages (from-to)1-6
JournalPhysical Review E
Issue number1
Publication statusPublished - 15 Jul 2019
MoE publication typeA1 Journal article-refereed


Dive into the research topics of 'Analytically solvable autocorrelation function for weakly correlated interevent times'. Together they form a unique fingerprint.

Cite this