Bibliography#
D. A. Bessler and J. L. Kling. A note on tests of Granger causality. Applied Economics, 16(3):335–342, 1984. doi:10.1080/00036848400000041.
Ulrik Brandes. On variants of shortest-path betweenness centrality and their generic computation. Social Networks, 30(2):136–145, May 2008. doi:10.1016/j.socnet.2007.11.001.
Carlson Moses Büth, Kishor Acharya, and Massimiliano Zanin. Infomeasure: a comprehensive Python package for information theory measures and estimators. Scientific Reports, 15(1):29323, August 2025. doi:10.1038/s41598-025-14053-5.
Francis X. Diebold. Elements of Forecasting. Cengage Learning, Cincinnati, Ohio, 4st edition edition, September 1997. ISBN 978-0-538-86244-8.
C. W. J. Granger. Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3):424, August 1969. doi:10.2307/1912791.
Gebhard Kirchgässner, Jürgen Wolters, and Uwe Hassler. Introduction to Modern Time Series Analysis. Springer Texts in Business and Economics. Springer Berlin Heidelberg, Berlin, Heidelberg, 2013. ISBN 978-3-642-33435-1 978-3-642-33436-8. doi:10.1007/978-3-642-33436-8.
Vito Latora and Massimo Marchiori. Efficient Behavior of Small-World Networks. Physical Review Letters, 87(19):198701, October 2001. doi:10.1103/PhysRevLett.87.198701.
Felipe Olivares, F. Javier Marín-Rodríguez, Kishor Acharya, and Massimiliano Zanin. Evaluating Methods for Detrending Time Series Using Ordinal Patterns, with an Application to Air Transport Delays. Entropy, 27(3):230, March 2025. doi:10.3390/e27030230.
Jagath C. Rajapakse and Juan Zhou. Learning effective brain connectivity with dynamic Bayesian networks. NeuroImage, 37(3):749–760, September 2007. doi:10.1016/j.neuroimage.2007.06.003.
Alard Roebroeck, Elia Formisano, and Rainer Goebel. Mapping directed influence over the brain using Granger causality and fMRI. NeuroImage, 25(1):230–242, March 2005. doi:10.1016/j.neuroimage.2004.11.017.
Thomas Schreiber. Measuring Information Transfer. Physical Review Letters, 85(2):461–464, July 2000. doi:10.1103/PhysRevLett.85.461.
Massimiliano Zanin. Assessing Granger Causality on Irregular Missing and Extreme Data. IEEE Access, 9:75362–75374, 2021. doi:10.1109/ACCESS.2021.3082014.
Massimiliano Zanin. Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning. Chaos: An Interdisciplinary Journal of Nonlinear Science, 33(3):033114, March 2023. doi:10.1063/5.0136492.
Massimiliano Zanin, Xiaoqian Sun, and Sebastian Wandelt. Studying the Topology of Transportation Systems through Complex Networks: Handle with Care. Journal of Advanced Transportation, 2018(1):3156137, 2018. doi:10.1155/2018/3156137.