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Nonlinear Time Series Analysis
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Measuring Information Transfer
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The synchronization of chaotic systems
Boccaletti, S., Kurths, J., Osipov, G., Valladares, D. L., & Zhou, C. S. (2002) · Physics Reports · doi:10.1016/s0370-1573(02)00137-0 · Cited by 2,764
Transfer entropy—a model-free measure of effective connectivity for the neurosciences
Vicente, R., Wibral, M., Lindner, M., & Pipa, G. (2011) · Journal of Computational Neuroscience · doi:10.1007/s10827-010-0262-3 · Cited by 1,014
A Review of Nonlinear Hyperspectral Unmixing Methods
Heylen, R., Parente, M., & Gader, P. (2014) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2014.2320576 · Cited by 591
Chapter 23 Heterogeneous Agent Models in Economics and Finance
Hommes, C. H. (2006) · Handbook of Computational Economics · doi:10.1016/s1574-0021(05)02023-x · Cited by 542
Hillebrand, A., Barnes, G. R., Bosboom, J. L., Berendse, H. W., & Stam, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2011.11.005 · Cited by 416
Chaos in a long-term experiment with a plankton community
Benincà, E., Huisman, J., Heerkloss, R., Jöhnk, K. D., Branco, P., Van Nes, E. H., Scheffer, M., & Ellner, S. P. (2008) · Nature · doi:10.1038/nature06512 · Cited by 455
A comparative overview of microwave and wireless power-amplifier behavioral modeling approaches
Pedro, J. C., & Maas, S. A. (2005) · IEEE Transactions on Microwave Theory and Techniques · doi:10.1109/tmtt.2005.845723 · Cited by 419
Mutual information analysis of the EEG in patients with Alzheimer's disease
Jeong, J., Gore, J. C., & Peterson, B. S. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00513-2 · Cited by 397
Predictability: a way to characterize complexity
Boffetta, G. (2002) · Physics Reports · doi:10.1016/s0370-1573(01)00025-4 · Cited by 391
Regularities unseen, randomness observed: Levels of entropy convergence
Crutchfield, J. P., & Feldman, D. P. (2003) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.1530990 · Cited by 368
Boker, S. M., Rotondo, J. L., Xu, M., & King, K. (2002) · Psychological Methods · doi:10.1037//1082-989x.7.3.338 · Cited by 360
Nonlinear vibrations of suspended cables—Part I: Modeling and analysis
Rega, G. (2004) · Applied Mechanics Reviews · doi:10.1115/1.1777224 · Cited by 317
Abásolo, D., Hornero, R., Gómez, C., García, M., & López, M. (2006) · Medical Engineering & Physics · doi:10.1016/j.medengphy.2005.07.004 · Cited by 313
Time series forecasting for nonlinear and non-stationary processes: a review and comparative study
Cheng, C., Sa-Ngasoongsong, A., Beyca, O., Le, T., Yang, H., Kong, Z. (., & Bukkapatnam, S. T. S. (2015) · IIE Transactions · doi:10.1080/0740817x.2014.999180 · Cited by 287
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Dingwell, J. B., Cusumano, J. P., Sternad, D., & Cavanagh, P. R. (2000) · Journal of Biomechanics · doi:10.1016/s0021-9290(00)00092-0 · Cited by 270
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Timmer, J., Häussler, S., Lauk, M., & Lücking, C.-H. (2000) · Chaos: An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/1.166494 · Cited by 130
Complex Dynamical Systems in Social and Personality Psychology: Theory, Modeling, and Analysis
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Mendonça, P. R., Vargas-Caballero, M., Erdélyi, F., Szabó, G., Paulsen, O., & Robinson, H. P. (2016) · eLife · doi:10.7554/elife.16475 · Cited by 37
A neural algorithm for the non-uniform and adaptive sampling of biomedical data
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Metadata
- Venue
- SpringerReference
- Publisher
- Springer-Verlag
- Published
- 2012-02-08
- OpenAlex
- W1517729176
- Cited by
- 1,983
- References
- 0
- Type
- reference entry
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
