Comparison of maximum entropy and higher-order entropy estimators

By Amos Golan, J. Perloff. 2002

62 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/352ace1e685b82f29582e243d3894710ba8bb224

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Rustam Ibragimov

In Economics and Econometrics

1. Victor H. de la Peña
2. Sh. Sharakhmetov
3. Rustam Ibragimov
4. Andrew J. Patton
5. Cecile Gaubert
6. Samuel Bazzi
7. Suresh Naidu

In Statistical and Nonlinear Physics

1. Sh. Sharakhmetov
2. Rustam Ibragimov
3. Victor H. de la Peña

Citations in the corpus

• Characterizations of joint distributions, copulas, information, dependence and decoupling, with applications to time series (2006, background): “A class of measures of dependence closely related to the multivariate divergence measures is the class of generalized entropies introduced by Tsallis [75] in the study of multifractals and generalizations of Boltzmann–Gibbs statistics (see also [24, 26, 27]) ρ (q) X1,.”