In this paper a characterization is presented for Pearson's Type II and VII multivariate distributions by means of the maximum entropy principle. It is shown that within the class of multivariate distributions, that satisfy appropriate constraints expressed by mean values, the Pearson Type II and VII distributions maximize the Shannon entropy
In physics, communication theory, engineering, statistics, and other areas, one of the methods of de...
<p>The maximum-entropy probability distribution with pairwise constraints for continuous random vari...
Abstract:- Maximum entropy (MaxEnt) principle is a method for analyzing the available information in...
In this paper a characterization is presented for Pearson's Type II and VII multivariate distributio...
AbstractThis paper shows that multivariate distributions can be characterized as maximum entropy (ME...
This paper shows that multivariate distributions can be characterized as maximum entropy (ME) models...
Shannon entropy, maximum entropy principle, Kotz type multivariate distribution, Burr distribution, ...
This paper shows that multivariate distributions can be characterized as Maximum Entropy (ME) models...
AbstractA random vector X=(X1,X2,…,Xn) with positive components has a Liouville distribution with pa...
Abstract. Entropy has been widely employed as an optimization func-tion for problems in computer vis...
In a previous MaxEnt conference [11] a method of obtaining MaxEnt univariate distributions under a v...
Exact forms of Rényi and Shannon entropies are determined for several multivariate distributions, in...
Abstract: One of the important issues among many information measures is Shannon (1948) entropy. In ...
Entropy has a very important role in Statistics. In recent studies it can be seen that entropy start...
AbstractIn this paper, we derive some monotonicity properties of generalized entropy functionals of ...
In physics, communication theory, engineering, statistics, and other areas, one of the methods of de...
<p>The maximum-entropy probability distribution with pairwise constraints for continuous random vari...
Abstract:- Maximum entropy (MaxEnt) principle is a method for analyzing the available information in...
In this paper a characterization is presented for Pearson's Type II and VII multivariate distributio...
AbstractThis paper shows that multivariate distributions can be characterized as maximum entropy (ME...
This paper shows that multivariate distributions can be characterized as maximum entropy (ME) models...
Shannon entropy, maximum entropy principle, Kotz type multivariate distribution, Burr distribution, ...
This paper shows that multivariate distributions can be characterized as Maximum Entropy (ME) models...
AbstractA random vector X=(X1,X2,…,Xn) with positive components has a Liouville distribution with pa...
Abstract. Entropy has been widely employed as an optimization func-tion for problems in computer vis...
In a previous MaxEnt conference [11] a method of obtaining MaxEnt univariate distributions under a v...
Exact forms of Rényi and Shannon entropies are determined for several multivariate distributions, in...
Abstract: One of the important issues among many information measures is Shannon (1948) entropy. In ...
Entropy has a very important role in Statistics. In recent studies it can be seen that entropy start...
AbstractIn this paper, we derive some monotonicity properties of generalized entropy functionals of ...
In physics, communication theory, engineering, statistics, and other areas, one of the methods of de...
<p>The maximum-entropy probability distribution with pairwise constraints for continuous random vari...
Abstract:- Maximum entropy (MaxEnt) principle is a method for analyzing the available information in...