Intensive entropic non-triviality measure
By P. W. Lamberti, María Teresa Martín, A. Plastino, Osvaldo Anibal Rosso. 2004
306 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/0cf7e2de0a10a53d5cb6c2dfe38a4c617032970f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Luciano Zunino
- Osvaldo Anibal Rosso
- F. Serinaldi
- D. Pérez
- Massimiliano Zanin
- Benjamin Miranda Tabak
- Aurelio Fernández Bariviera
- Ladislav Kristoufek
In Statistical and Nonlinear Physics
- F. Serinaldi
- Luciano Zunino
- Osvaldo Anibal Rosso
- Massimiliano Zanin
- Benjamin Miranda Tabak
- D. Pérez
- Wei‐Xing Zhou
Citations in the corpus
- Complexity–entropy analysis of daily stream flow time series in the continental United States (2014, background): “In this respect, Lamberti et al. (2004) introduced an effective statistical complexity measure (SCM) that is able to detect essential details of the dynamics.”
- Complexity-entropy causality plane: A useful approach to quantify the stock market inefficiency (2010, background): “Not only does it quantify randomness, but also the presence of correlation among components of the dynamical system [38,40].”