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The variations of the b coefficient in the frequency-magnitude relationship for earthquakes which occurred at Mt. Etna from 01/01/90 to 31/12/92 are analyzed; the completeness threshold for our earthq...
We study a parametric estimation problem related to moment condition models. As an alternative to the generalized empirical likelihood (GEL) and the generalized method of moments (GMM), a Bayesian app...
Abstract: This paper deals with maximum entropy completion of partially specified block-circulant matrices. Since positive definite symmetric circulants happen to be covariance matrices of stationary ...
The structure of the ground spaces of quantum systems consisting of local interactions is of fundamental importance to different areas of physics. In this Letter, we present a necessary and sufficient...
The variational method with constraints recently developed by Verkley and Gerkema to describe maximum-entropy atmospheric profiles is generalized to ideal gases but with temperature-dependent specific...
Use of the Maximum Entropy Method to Predict Atmospheric CO2 Content.
In a previous paper, a project of constructing quantum models of classical properties has been started. The present paper concludes the project by turning to classical mechanics. The quantum states th...
A general maximum entropy estimate for the directional distribution of the directional wave spectrum is introduced. The estimate appears to be superior to conventional methods, including maximum likel...
In this paper, we consider the methods of obtaining maximum entropy multivariate distributions via Burg’s measure of entropy under the constraints that the marginal distributions or the marginals and ...
In this paper, the methods of obtaining maximum entropy bivariate distributions under the constraints, that one of the marginal distributions, both of marginals, or the marginals and correlation betwe...
An eddy parameterization derived from statistical mechanics of potential vorticity is applied for inviscid shallow-water equations. The solution of a variational problem based on the maximum entropy p...
This paper presents the maximum entropy methods for nonlinearly constrained optumzation and ndulmax problems. Some properties of these method are given. Convergence theorems of the maximum entopy meth...
One of the most important methods in analysis of large data sets is clustering. These methods are not only major tools to uncover the underlying structures of a given data set, but also promising tool...

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