Challenges and perspectives in recurrence analyses of event time series

TL;DR

This paper discusses the challenges of analyzing event time series using recurrence analysis, highlighting its potential and future directions for improving nonlinear time series analysis methods.

Contribution

It introduces recurrence analysis for event time series, discusses existing challenges, and summarizes future perspectives in this research area.

Findings

Recurrence analysis offers valuable insights for event time series.

Challenges include data complexity and method limitations.

Future work aims to enhance analysis techniques.

Abstract

The analysis of event time series is in general challenging. Most time series analysis tools are limited for the analysis of this kind of data. Recurrence analysis, a powerful concept from nonlinear time series analysis, provides several opportunities to work with event data and even for the most challenging task of comparing event time series with continuous time series. Here, the basic concept is introduced, the challenges are discussed, and the future perspectives are summarised.