activity
19942020
most citedState Space Reconstruction Parameters in the Analysis of Chaotic Time Series - the Role of the Time Window Length

319 citations · 1.3k across the 24 of their papers we have counts for

collaborators

26 papers

stat.ME2020★ 1 cited

Detecting direct causality in multivariate time series: A comparative study

Angeliki Papana, Elsa Siggiridou, Dimitris Kugiumtzis

The concept of Granger causality is increasingly being applied for the characterization of directional interactions in different applications. A multivariate framework for estimati…

stat.CO2019★ 52 cited

Evaluation of Granger causality measures for constructing networks from multivariate time series

Elsa Siggiridou, Christos Koutlis, Alkiviadis Tsimpiris +1

Granger causality and variants of this concept allow the study of complex dynamical systems as networks constructed from multivariate time series. In this work, a large number of G…

q-bio.QM2018★ 8 cited

Evaluation of algorithms for correction of transcranial magnetic stimulation induced artifacts in electroencephalograms

Panteleimon Vafeidis, Vasilios K. Kimiskidis, Dimitris Kugiumtzis

Transcranial magnetic stimulation combined with electroencephalography (TMS-EEG) is widely used to study the reactivity and connectivity of brain regions for clinical or research p…

stat.ME2015★ 137 cited

Granger Causality in Multi-variate Time Series using a Time Ordered Restricted Vector Autoregressive Model

Elsa Siggiridou, Dimitris Kugiumtzis

Granger causality has been used for the investigation of the inter-dependence structure of the underlying systems of multi-variate time series. In particular, the direct causal eff…

stat.ME2015

Markov chain order estimation with parametric significance tests of conditional mutual information

Maria Papapetrou, Dimitris Kugiumtzis

Besides the different approaches suggested in the literature, accurate estimation of the order of a Markov chain from a given symbol sequence is an open issue, especially when the…

stat.ME2015★ 2 cited

Estimation of connectivity measures in gappy time series

G. Papadopoulos, D. Kugiumtzis

A new method is proposed to compute connectivity measures on multivariate time series with gaps. Rather than removing or filling the gaps, the rows of the joint data matrix contain…