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D Kugiumtzis
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Cited by
Year
State space reconstruction parameters in the analysis of chaotic time series—the role of the time window length
D Kugiumtzis
Physica D: Nonlinear Phenomena 95 (1), 13-28, 1996
4541996
Nonuniform state-space reconstruction and coupling detection
I Vlachos, D Kugiumtzis
Physical Review E 82 (1), 016207, 2010
1902010
Regularized local linear prediction of chaotic time series
D Kugiumtzis, OC Lingjærde, N Christophersen
Physica D: Nonlinear Phenomena 112 (3-4), 344-360, 1998
1701998
Clinical utility and prospective of TMS–EEG
S Tremblay, NC Rogasch, I Premoli, DM Blumberger, S Casarotto, ...
Clinical Neurophysiology 130 (5), 802-844, 2019
1582019
Test your surrogate data before you test for nonlinearity
D Kugiumtzis
Physical Review E 60 (3), 2808, 1999
1581999
Direct-coupling information measure from nonuniform embedding
D Kugiumtzis
Physical Review E 87 (6), 062918, 2013
1312013
Chaotic time series: Part 1: estimation of some invariant properties in state space
D Kugiumtzis, B Lillekjendlie, ND Christophersen
Modeling, identification and control 15 (4), 205-224, 1994
1021994
Measures of analysis of time series (MATS): a MATLAB toolkit for computation of multiple measures on time series data bases
D Kugiumtzis, A Tsimpiris
arXiv preprint arXiv:1002.1940, 2010
962010
Simulation study of direct causality measures in multivariate time series
A Papana, C Kyrtsou, D Kugiumtzis, C Diks
Entropy 15 (7), 2635-2661, 2013
822013
Surrogate data test for nonlinearity including nonmonotonic transforms
D Kugiumtzis
Physical Review E 62 (1), R25, 2000
782000
Transcranial magnetic stimulation (TMS) modulates epileptiform discharges in patients with frontal lobe epilepsy: a preliminary EEG-TMS study
VK Kimiskidis, D Kugiumtzis, S Papagiannopoulos, N Vlaikidis
International journal of neural systems 23 (01), 1250035, 2013
732013
Estimating the decomposition of predictive information in multivariate systems
L Faes, D Kugiumtzis, G Nollo, F Jurysta, D Marinazzo
Physical Review E 91 (3), 032904, 2015
712015
Chaotic time series part II: System identification and prediction
B Lillekjendlie, D Kugiumtzis, N Christophersen
arXiv preprint chao-dyn/9401003, 1994
701994
Granger causality in multivariate time series using a time-ordered restricted vector autoregressive model
E Siggiridou, D Kugiumtzis
IEEE Transactions on Signal Processing 64 (7), 1759-1773, 2015
672015
Evaluation of mutual information estimators for time series
A Papana, D Kugiumtzis
International Journal of Bifurcation and Chaos 19 (12), 4197-4215, 2009
652009
On the reliability of the surrogate data test for nonlinearity in the analysis of noisy time series
D Kugiumtzis
International Journal of Bifurcation and Chaos 11 (07), 1881-1896, 2001
632001
Surrogate data test on time series
D Kugiumtzis
Modelling and Forecasting Financial Data, 267-282, 2002
602002
Partial transfer entropy on rank vectors
D Kugiumtzis
The European Physical Journal Special Topics 222 (2), 401-420, 2013
582013
A prediction scheme using perceptually important points and dynamic time warping
PE Tsinaslanidis, D Kugiumtzis
Expert Systems with Applications 41 (15), 6848-6860, 2014
562014
Statically transformed autoregressive process and surrogate data test for nonlinearity
D Kugiumtzis
Physical Review E 66 (2), 025201, 2002
542002
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