The aim of this paper is to study the full K−moment problem for measures supported on some particular non-linear subsets K of an infinite dimensional vector space. We focus on the case of random measures, that is K is a subset of all non-negative Radon measures on Rd. We consider as K the space of sub-probabilities, probabilities and point configurations on Rd. For each of these spaces we provide at least one representation as a generalized basic closed semi-algebraic set to apply the main result in Infusino et al. (2014) [20]. We demonstrate that this main result can be significantly improved by further considerations based on the particular chosen representation of K. In the case when K is a space of point configurations, the correlation ...
We deal with the following general version of the classical moment problem: when can a linear functi...
Let µ be a probability measure on R d with finite moments of all orders. Then we can define the crea...
Moments of continuous random variables admitting a probability density function are studied. We show...
The aim of this paper is to study the full K−moment problem for measures supported on some particula...
We consider a generic basic semi-algebraic subset S of the space of generalized functions, that is a...
Key words and phrases. Discrete random measure, moment problem, point process, random measure. Let X...
We find necessary and sufficient conditions for the existence of a probability measure on N0, the no...
Let $K$ denote a nonempty closed subset of $\mathbb{R}^{n}$ and let $\beta\equiv \beta^{(m)} = \{\be...
This talk aims to introduce an infinite dimensional version of the classical full moment problem and...
This paper is dedicated to great mathematicians M. Krein and I. Gel’fand whose papers have made it p...
In this talk we give an introduction to infinite dimensional moment problems, i.e. for measures supp...
Necessary and sufficient conditions for a measure to be an extreme point of the set of measures on a...
A pivotal problem in Bayesian nonparametrics is the construction of prior distributions on the space...
In this thesis we have explored a new class of measures $\nu_{theta}$ on configuration spaces $\Gamm...
Moments of continuous random variables admitting a probability density function are studied. We show...
We deal with the following general version of the classical moment problem: when can a linear functi...
Let µ be a probability measure on R d with finite moments of all orders. Then we can define the crea...
Moments of continuous random variables admitting a probability density function are studied. We show...
The aim of this paper is to study the full K−moment problem for measures supported on some particula...
We consider a generic basic semi-algebraic subset S of the space of generalized functions, that is a...
Key words and phrases. Discrete random measure, moment problem, point process, random measure. Let X...
We find necessary and sufficient conditions for the existence of a probability measure on N0, the no...
Let $K$ denote a nonempty closed subset of $\mathbb{R}^{n}$ and let $\beta\equiv \beta^{(m)} = \{\be...
This talk aims to introduce an infinite dimensional version of the classical full moment problem and...
This paper is dedicated to great mathematicians M. Krein and I. Gel’fand whose papers have made it p...
In this talk we give an introduction to infinite dimensional moment problems, i.e. for measures supp...
Necessary and sufficient conditions for a measure to be an extreme point of the set of measures on a...
A pivotal problem in Bayesian nonparametrics is the construction of prior distributions on the space...
In this thesis we have explored a new class of measures $\nu_{theta}$ on configuration spaces $\Gamm...
Moments of continuous random variables admitting a probability density function are studied. We show...
We deal with the following general version of the classical moment problem: when can a linear functi...
Let µ be a probability measure on R d with finite moments of all orders. Then we can define the crea...
Moments of continuous random variables admitting a probability density function are studied. We show...