A d-dimensional RCA(1) process is a generalization of the d-dimensional AR(1) process, such that the coefficients {M-t; t =1, 2, ...} are i.i.d. random matrices. In the case d =1, under a nondegeneracy condition, Goldie and Mailer gave necessary and sufficient conditions for the convergence in distribution of an RCA(1) process, and for the almost sure convergence of a closely related sum of random variables called a perpetuity. We here prove that under the condition parallel to Pi(n)(t=1) M-t parallel to -greater than(a.s.) 0 as n -greater than infinity, most of the results of Goldie and Mailer can be extended to the case d greater than 1. If this condition does not hold, some of their results cannot be extended
In this note we obtain rates of convergence in the central limit theorem for certain maximum of coor...
A new type of stochastic dependence for a sequence of random variables is introduced and studied. Pr...
AbstractWe consider different kinds of convergence of homogeneous polynomials and multilinear forms ...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
Based on multiparameter subadditive ergodic theorems of Akcoglu and Krengel (1981) and Schürger (198...
AbstractBased on multiparameter subadditive ergodic theorems of Akcoglu and Krengel (1981) and Schür...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
The paper deals with random variables which are the values of independent identically distributed st...
To sample from distributions in high dimensional spaces or finite large sets di-rectly is not feasib...
International audienceWe investigate the problem of finding necessary and sufficient conditions for ...
The paper deals with random step-line processes defined by sums of independent identically distribut...
Let A=(A_i)_{i in N_0} be a stationary stochastic process in GL(d,R), where GL(d,R) denotes the set ...
We show that if a sequence of piecewise affine linear processes converges in the strong sense with a...
The paper deals with the convergence properties of the products of random (row-)stochastic matrices....
International audienceWe consider the variant of stochastic homogenization theory introduced in [X. ...
In this note we obtain rates of convergence in the central limit theorem for certain maximum of coor...
A new type of stochastic dependence for a sequence of random variables is introduced and studied. Pr...
AbstractWe consider different kinds of convergence of homogeneous polynomials and multilinear forms ...
Let (Xn)n[epsilon] be a sequence of real, independent, not necessarily identically distributed rando...
Based on multiparameter subadditive ergodic theorems of Akcoglu and Krengel (1981) and Schürger (198...
AbstractBased on multiparameter subadditive ergodic theorems of Akcoglu and Krengel (1981) and Schür...
AbstractLet (Xn)nϵN be a sequence of real, independent, not necessarily identically distributed rand...
The paper deals with random variables which are the values of independent identically distributed st...
To sample from distributions in high dimensional spaces or finite large sets di-rectly is not feasib...
International audienceWe investigate the problem of finding necessary and sufficient conditions for ...
The paper deals with random step-line processes defined by sums of independent identically distribut...
Let A=(A_i)_{i in N_0} be a stationary stochastic process in GL(d,R), where GL(d,R) denotes the set ...
We show that if a sequence of piecewise affine linear processes converges in the strong sense with a...
The paper deals with the convergence properties of the products of random (row-)stochastic matrices....
International audienceWe consider the variant of stochastic homogenization theory introduced in [X. ...
In this note we obtain rates of convergence in the central limit theorem for certain maximum of coor...
A new type of stochastic dependence for a sequence of random variables is introduced and studied. Pr...
AbstractWe consider different kinds of convergence of homogeneous polynomials and multilinear forms ...