AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial for this sum if the total variation distance is considered. Replacement of the normal approximation by its Poisson structured analogue changes the situation radically. Moreover, considering the Markov binomial distribution we prove that signed Poisson approximation can be more accurate than both the normal and Poisson approximations. Possible improvements due to asymptotic expansions are discussed
It is long known that the distribution of a sum Sn of independent non-negative integer-valued random...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Stein's method is used to prove approximations in total variation to the distributions of integer va...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same m...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
We consider the problem of approximating the distribution of a Markov chain with 'rare' transitions ...
AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same m...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Considering the Markov binomial distribution we investigate its convergence to the limiting Poisson ...
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...
An upper bound for the total variation distance between the distribution of the sum of a sequence of...
The insurance model when the amount of claims depends on the state of the insured person (healthy, i...
It is long known that the distribution of a sum Sn of independent non-negative integer-valued random...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Stein's method is used to prove approximations in total variation to the distributions of integer va...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same m...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
We consider the problem of approximating the distribution of a Markov chain with 'rare' transitions ...
AbstractThe Markov binomial distribution is approximated by the Poisson distribution with the same m...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Considering the Markov binomial distribution we investigate its convergence to the limiting Poisson ...
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...
An upper bound for the total variation distance between the distribution of the sum of a sequence of...
The insurance model when the amount of claims depends on the state of the insured person (healthy, i...
It is long known that the distribution of a sum Sn of independent non-negative integer-valued random...
Our aim is to investigate Poisson type approximations to the sums of dependent integer-valued random...
Stein's method is used to prove approximations in total variation to the distributions of integer va...