A new method for solving the Hausdorff moment problem is presented which makes use of Pollaczek polynomials. This problem is severely ill posed; a regularized solution is obtained without any use of prior knowledge. When the problem is treated in the L 2 space and the moments are finite in number and affected by noise or round‐off errors, the approximation converges asymptotically in the L 2 norm. The method is applied to various questions of statistical mechanics and in particular to the determination of the density of states. Concerning this latter problem the method is extended to include distribution valued densities. Computing the Laplace transform of the expansion a new series representation of the partition function Z(β) (β=1/k BT ) ...
A useful technique in underdetermined inverse problems is that of maximum entropy. A simple error bo...
One treats the Hausdorff moment problem, the deconvolution on the sphere one and the problem of regr...
Reconstructing parton distribution function (PDF) from the corresponding Mellin moments belongs to a...
AbstractWe present a new method for solving the Hausdorff moment problem which makes use of Pollacze...
Various methods have been proposed to approximate a solution to the truncated Hausdorff moment probl...
21 pagesThe purpose of this paper is to study the problem of estimating a compactly supported densit...
The problem of recovering a moment-determinate probability density function (pdf) from its moments i...
AbstractIn this paper we study a class of Hausdorff-transformed power series whose convergence is ex...
AbstractConsidered here are absolutely continuous probability distributions, concentrated on the int...
AbstractA new proof is given for Hausdorff's condition on a set of moments which determines when the...
AbstractHow much information does a small number of moments carry about the unknown distribution fun...
We suggest a procedure for estimating Nth degree polynomial approximations to unknown (or known) pro...
AbstractIn order to process a potential moment sequence by the entropy optimization method one has t...
AbstractIn this work the problem of the approximate numerical determination of a semi-infinite suppo...
The moment-recovered approximations of multivariate distributions are suggested. This method is natu...
A useful technique in underdetermined inverse problems is that of maximum entropy. A simple error bo...
One treats the Hausdorff moment problem, the deconvolution on the sphere one and the problem of regr...
Reconstructing parton distribution function (PDF) from the corresponding Mellin moments belongs to a...
AbstractWe present a new method for solving the Hausdorff moment problem which makes use of Pollacze...
Various methods have been proposed to approximate a solution to the truncated Hausdorff moment probl...
21 pagesThe purpose of this paper is to study the problem of estimating a compactly supported densit...
The problem of recovering a moment-determinate probability density function (pdf) from its moments i...
AbstractIn this paper we study a class of Hausdorff-transformed power series whose convergence is ex...
AbstractConsidered here are absolutely continuous probability distributions, concentrated on the int...
AbstractA new proof is given for Hausdorff's condition on a set of moments which determines when the...
AbstractHow much information does a small number of moments carry about the unknown distribution fun...
We suggest a procedure for estimating Nth degree polynomial approximations to unknown (or known) pro...
AbstractIn order to process a potential moment sequence by the entropy optimization method one has t...
AbstractIn this work the problem of the approximate numerical determination of a semi-infinite suppo...
The moment-recovered approximations of multivariate distributions are suggested. This method is natu...
A useful technique in underdetermined inverse problems is that of maximum entropy. A simple error bo...
One treats the Hausdorff moment problem, the deconvolution on the sphere one and the problem of regr...
Reconstructing parton distribution function (PDF) from the corresponding Mellin moments belongs to a...