In this paper, we consider the direct and inverse problems of the description of lattice positive random fields by various systems of finite-dimensional (as well as one-point) probability distributions parameterized by boundary conditions. In the majority of cases, we provide necessary and sufficient conditions for the system to be a conditional distribution of a (unique) random field. The exception is Dobrushin-type systems for which only sufficient conditions are known. Also, we discuss possible applications of the considered systems.Comment: 27 page
AbstractWe address the problem of constructing and identifying a valid joint probability density fun...
It is known that the joint measures on the product of spin-space and disorder space are very often n...
we study the distribution of the occurrence of patterns in random fields on the lattice Zd , d >_...
In this paper, we show that the methods of mathematical statistical physics can be successfully appl...
In the paper we discuss the problem of description of random fields by means of systems of finite di...
A random field specification is a consistent family of conditional probability distributions paramet...
Title: Existence and uniqueness of the distribution of a random measure given by finite dimensional ...
A new approach towards description of random fields on the $\nu$ -dimensional integer lattice $Z^\nu...
Let X be an abstract set. We consider a prior random field Yx = U + VWx, where U is a real random va...
International audienceThe problem of characterization of Gibbs random fields is considered. Various ...
Models that are constructed from conditionally specified distributions are often applied to data set...
We study properties of random elds that form conditional bases and their applications in spatial sta...
In many scientific disciplines, there is frequently a need to describe purely spatial interactions a...
Motivated by the modelling of non Gaussian data or positively correlated data on a lattice, extensio...
. We improve on a lattice algorithm of Tezuka for the computation of the k-distribution of a class o...
AbstractWe address the problem of constructing and identifying a valid joint probability density fun...
It is known that the joint measures on the product of spin-space and disorder space are very often n...
we study the distribution of the occurrence of patterns in random fields on the lattice Zd , d >_...
In this paper, we show that the methods of mathematical statistical physics can be successfully appl...
In the paper we discuss the problem of description of random fields by means of systems of finite di...
A random field specification is a consistent family of conditional probability distributions paramet...
Title: Existence and uniqueness of the distribution of a random measure given by finite dimensional ...
A new approach towards description of random fields on the $\nu$ -dimensional integer lattice $Z^\nu...
Let X be an abstract set. We consider a prior random field Yx = U + VWx, where U is a real random va...
International audienceThe problem of characterization of Gibbs random fields is considered. Various ...
Models that are constructed from conditionally specified distributions are often applied to data set...
We study properties of random elds that form conditional bases and their applications in spatial sta...
In many scientific disciplines, there is frequently a need to describe purely spatial interactions a...
Motivated by the modelling of non Gaussian data or positively correlated data on a lattice, extensio...
. We improve on a lattice algorithm of Tezuka for the computation of the k-distribution of a class o...
AbstractWe address the problem of constructing and identifying a valid joint probability density fun...
It is known that the joint measures on the product of spin-space and disorder space are very often n...
we study the distribution of the occurrence of patterns in random fields on the lattice Zd , d >_...