Correlation Integral for Stationary Gaussian Time Series
Author:
Funder
MATH-AMSUD
ANID
AC3E
Publisher
Springer Science and Business Media LLC
Subject
Statistics, Probability and Uncertainty,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s13171-023-00318-6.pdf
Reference29 articles.
1. Brockwell, P. J., and Davis, R. A. 2006. Time Series: Theory and Methods. Springer, NY.
2. Broock, W. A., Scheinkman, J. A., Dechert, W. D., and LeBaron, B. 1996. A test for independence based on the correlation dimension. Econometric reviews, 15(3), 197-235.
3. Caballero, Y., Giraldo, R., and Mateu, J. 2022. A spatial randomness test based on the box–counting dimension. Advances in Statistical Analysis 106, 499–524.
4. Casdagli, M. 1989. Nonlinear prediction of chaotic time series. Physica D 35, 335–336.
5. Casdagli, M. C., Iasemidis, L. D., Savit, R. S., Gilmore, R. L., Roper, S. N., and Sackellares, J. C. 1997. Non-linearity in invasive EEG recordings from patients with temporal lobe epilepsy. Electroencephalography and clinical Neurophysiology, 102(2), 98-105.
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