CINECA IRIS Institutional Research Information System
IRIS è l'Anagrafe della ricerca dell'Università degli Studi di Trento, e ha lo scopo di raccogliere, documentare, conservare e diffondere, anche ad accesso aperto, la produzione scientifica degli autori afferenti all'Università degli Studi di Trento.
EnglishThe study of many dynamical systems relies on the analysis of experimentally-recorded sequences of events for which information is encoded in the sequence of interevent intervals. A correct interpretation of the results of the application of analytical techniques to these sequences requires the assessment of statistical significance. In most cases, the corresponding null-hypothesis distribution is unknown, thus forbidding an evaluation of the significance. An alternative solution, which is efficient in the case of continuous signals, is provided by the generation of surrogate data that share statistical and spectral properties with the original dataset. However, in the case of event sequences, the available algorithms for the generation of surrogate data can become cumbersome and computationally demanding. In this work, we present a new method for the generation of surrogate event sequences that relies on the joint distribution of successive interevent intervals. Our method,which was tested on both synthetic and experimental sequences, performs equally well or even better than conventional methods in terms of interevent interval distribution and autocorrelation while abating the computational time by at least one order of magnitude.
Scheda prodotto non validato
I dati visualizzati non sono stati ancora sottoposti a validazione formale da parte dello Staff di IRIS, ma sono stati ugualmente trasmessi al Sito Docente Cineca (Loginmiur).
| Titolo: | Generation of surrogate event sequences via joint distribution of successive inter-event intervals |
| Autori: | Ricci, Leonardo; Castelluzzo, Michele; Minati, Ludovico; Perinelli, Alessio |
| Autori Unitn: | |
| Titolo del periodico: | CHAOS |
| Anno di pubblicazione: | 2019 |
| Numero e parte del fascicolo: | 12 |
| Digital Object Identifier (DOI): | 10.1063/1.5138250 |
| Handle: | http://hdl.handle.net/11572/247710 |
| Citazione: | Generation of surrogate event sequences via joint distribution of successive inter-event intervals / Ricci, Leonardo; Castelluzzo, Michele; Minati, Ludovico; Perinelli, Alessio. - In: CHAOS. - ISSN 1054-1500. - 29:12(2019), p. 121102. |
| Appare nelle tipologie: | 03.1 Articolo su rivista (Journal article) |
File in questo prodotto:
Copyright © 2020