AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same mean, by a translated Poisson distribution and by two-parametric Poisson type signed measures. Using an adaptation of Le Cam’s operator technique, estimates of accuracy are proved for the total variation, local and Wasserstein norms. In a special case, asymptotically sharp constants are obtained. For some auxiliary results, we used Stein’s method
We consider the problem of approximating the distribution of a Markov chain with 'rare' transitions ...
This paper gives an upper bound for a Wasserstein distance between the distributions of a partial su...
It is long known that the distribution of a sum Sn of independent non-negative integer-valued random...
AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same m...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Considering the Markov binomial distribution we investigate its convergence to the limiting Poisson ...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
For a Markov chain X = {Xi, i = 1, 2,..., n} with the state space {0, 1}, the random variable S:= ∑n...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Certain monotonicity properties of the Poisson approximation to the binomial distribution are establ...
Abstract: Charles Stein has introduced a general approach to proving approx-imation theorems in prob...
AbstractAn asymptotically finite bound is derived for the total variation distance between the distr...
We consider the problem of approximating the distribution of a Markov chain with 'rare' transitions ...
This paper gives an upper bound for a Wasserstein distance between the distributions of a partial su...
It is long known that the distribution of a sum Sn of independent non-negative integer-valued random...
AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same m...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Considering the Markov binomial distribution we investigate its convergence to the limiting Poisson ...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
For a Markov chain X = {Xi, i = 1, 2,..., n} with the state space {0, 1}, the random variable S:= ∑n...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Certain monotonicity properties of the Poisson approximation to the binomial distribution are establ...
Abstract: Charles Stein has introduced a general approach to proving approx-imation theorems in prob...
AbstractAn asymptotically finite bound is derived for the total variation distance between the distr...
We consider the problem of approximating the distribution of a Markov chain with 'rare' transitions ...
This paper gives an upper bound for a Wasserstein distance between the distributions of a partial su...
It is long known that the distribution of a sum Sn of independent non-negative integer-valued random...