Theory of Zipf's Law and Beyond
By A. Saichev, Yannick Malevergne, Didier Sornette. 2009
222 citations recorded by the source corpus.
Subfields: Statistical and Nonlinear Physics
View Paper: https://www.semanticscholar.org/paper/5172c7278cefc538495dc496affd7437817f24aa
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Statistical and Nonlinear Physics
- Thomas Blanchet
- Julie Fournier
- Thomas Piketty
- Didier Sornette
- V. Pisarenko
- Matjaz Perc
- Jean-Robert Grasso
- Matthias Kirchner
Citations in the corpus
- Generalized Pareto Curves: Theory and Applications (2017, methodology): “Such frictions may take different forms: for example, a lower bound on wages (Gabaix, 1999) or a nonzero probability of retiring (Saichev, Malevergne, and Sornette, 2010).”
- Dragon-kings: Mechanisms, statistical methods and empirical evidence (2012, unknown): “…to be at the origin of power law distributions may, under slight changes of conditions and constraints, lead to log-normal distributions (Saichev et al., 2009) or to distributions with two regimes, such as dragon-kings, due to a transition from a kind of self-organized critical regime to a…”
- Dragon-Kings, Black Swans and the Prediction of Crises (2009, background): “[21] for a recent in-depth review of theories of Zipf’s law and of its deviations).”
- Prediction (2010, unknown): “Characterizing the distributions by the probability densi ty function (pdf), it is found of the form ≃ 1/W f with exponent close to2, which corresponds to Zipf’s law [107].”
- The Dynamics of Inequality (2016, unknown): “Saichev, Malevergne, and Sornette (2009) and Malevergne, Saichev, and Sornette (2013) calculate a number of probability densities and hazard rates at finite times.”