A necessary and sufficient condition for the existence of the maximum entropy (ME) function defined in an infinite or semiinfinite interval, is provided. The conclusions reached show that, except in a few particular cases, the necessary and sufficient conditions for the existence of maximum entropy function are identical to the conditions for the solution of the moment problem when the first M+1 moments are assigned. Even if the conclusions reached are very similar to the Hausdorff case, the specificity of the Hamburger and Stieltjes cases demands a different handling. A sufficient condition for the entropy convergence of the resulting sequence of maximum entropy estimators to the entropy of the recovering function is also provided. PACS nu...
We consider the Maximum Entropy Reconstruction (MER) as a solution to the five-moment truncated Hamb...
Abstract—In many practical situations, we have only partial information about the probabilities. In ...
Abstract. Best entropy estimation is a technique that has been widely applied in many areas of scien...
In the classical Stieltjes and Hamburger's moment problem the sequence of maximum entropy appro...
The recovering of a positive density, of which a finite number of moments is assigned, is considered...
The recovering of a positive density function of which a finite number of moments are assigned is co...
AbstractThe classical Stieltjes and Hamburger moment problems in the maximum entropy approach have b...
The finite moment problem in the framework of maximum entropy approach is numerically investigated t...
AbstractThe classical Stieltjes and Hamburger moment problems in the maximum entropy approach have b...
AbstractIt is shown that a necessary and sufficient condition for the indeterminacy of the classical...
The finite moment problem in the framework of maximum entropy approach is numerically investigated t...
In many practical situations, we have only partial information about the probabilities. In some case...
We present a systematic study of the reconstruction of non-negative functions via maximum entropy ap...
We present a systematic study of the reconstruction of non-negative functions via maximum entropy ap...
We consider the Maximum Entropy Reconstruction (MER) as a solution to the five-moment truncated Hamb...
We consider the Maximum Entropy Reconstruction (MER) as a solution to the five-moment truncated Hamb...
Abstract—In many practical situations, we have only partial information about the probabilities. In ...
Abstract. Best entropy estimation is a technique that has been widely applied in many areas of scien...
In the classical Stieltjes and Hamburger's moment problem the sequence of maximum entropy appro...
The recovering of a positive density, of which a finite number of moments is assigned, is considered...
The recovering of a positive density function of which a finite number of moments are assigned is co...
AbstractThe classical Stieltjes and Hamburger moment problems in the maximum entropy approach have b...
The finite moment problem in the framework of maximum entropy approach is numerically investigated t...
AbstractThe classical Stieltjes and Hamburger moment problems in the maximum entropy approach have b...
AbstractIt is shown that a necessary and sufficient condition for the indeterminacy of the classical...
The finite moment problem in the framework of maximum entropy approach is numerically investigated t...
In many practical situations, we have only partial information about the probabilities. In some case...
We present a systematic study of the reconstruction of non-negative functions via maximum entropy ap...
We present a systematic study of the reconstruction of non-negative functions via maximum entropy ap...
We consider the Maximum Entropy Reconstruction (MER) as a solution to the five-moment truncated Hamb...
We consider the Maximum Entropy Reconstruction (MER) as a solution to the five-moment truncated Hamb...
Abstract—In many practical situations, we have only partial information about the probabilities. In ...
Abstract. Best entropy estimation is a technique that has been widely applied in many areas of scien...