AbstractCentral limit theorems are proved for Markov chains on the nonnegative integers that are homogeneous with respect to a sequence of orthogonal polynomials where the 3-term recurrence formula that defines the orthogonal polynomials has to satisfy some conditions. In particular, from the rate of convergence of the coefficients of the 3-term recurrence relation we get an estimation for the rate of convergence in the central limit theorems. The central limit theorems are applied to certain polynomial hypergroups, to birth and death random walks, and to isotropic random walks on infinite distance-transitive graphs and on certain finitely generated semigroups
International audienceWe prove upper bounds on the transition probabilities of random walks with i.i...
AbstractA product formula for linear operators is used to get a central limit theorem for products o...
International audienceLet G be a semi-group of measure preserving transformations of a probability s...
AbstractWe investigate random walks (Sn)n∈N0 on the nonnegative integers arising from isotropic rand...
In this paper we consider Foster–Liapounov-type drift conditions for Markov chains which imply polyn...
Random walk polynomials and random walk measures play a prominent role in the analysis of a class of...
The central limit theorem (CLT) for stationary ergodic Markov chains is investigated. We give a shor...
We consider symmetric Markov chains on the integer lattice that possibly have arbitrarily large jump...
We present strong laws of large numbers, central limit theorems and laws of the iterated logarithm f...
AbstractWe present strong laws of large numbers, central limit theorems and laws of the iterated log...
Dedicated to the 50th anniversary of the foundation of the Institute of Mathematics and Computer Sci...
A Central Limit Theorem is proved for linear random fields when sums are taken over union of finitel...
Let $\rho$ be a probability measure on $\mathrm{SL}_d(\mathbb{Z})$ and consider the random walk defi...
The spherical functions of triangle buildings can be described in terms of certain two-dimensional o...
Abstract. We consider compact Grassmann manifolds G/K over the real, complex or quaternionic numbers...
International audienceWe prove upper bounds on the transition probabilities of random walks with i.i...
AbstractA product formula for linear operators is used to get a central limit theorem for products o...
International audienceLet G be a semi-group of measure preserving transformations of a probability s...
AbstractWe investigate random walks (Sn)n∈N0 on the nonnegative integers arising from isotropic rand...
In this paper we consider Foster–Liapounov-type drift conditions for Markov chains which imply polyn...
Random walk polynomials and random walk measures play a prominent role in the analysis of a class of...
The central limit theorem (CLT) for stationary ergodic Markov chains is investigated. We give a shor...
We consider symmetric Markov chains on the integer lattice that possibly have arbitrarily large jump...
We present strong laws of large numbers, central limit theorems and laws of the iterated logarithm f...
AbstractWe present strong laws of large numbers, central limit theorems and laws of the iterated log...
Dedicated to the 50th anniversary of the foundation of the Institute of Mathematics and Computer Sci...
A Central Limit Theorem is proved for linear random fields when sums are taken over union of finitel...
Let $\rho$ be a probability measure on $\mathrm{SL}_d(\mathbb{Z})$ and consider the random walk defi...
The spherical functions of triangle buildings can be described in terms of certain two-dimensional o...
Abstract. We consider compact Grassmann manifolds G/K over the real, complex or quaternionic numbers...
International audienceWe prove upper bounds on the transition probabilities of random walks with i.i...
AbstractA product formula for linear operators is used to get a central limit theorem for products o...
International audienceLet G be a semi-group of measure preserving transformations of a probability s...