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
International audienceWe describe the statistics of the number of occurrences of a string of symbols...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...
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...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
The paper is concerned with the equilibrium distributions of continuous-time density dependent Marko...
The problem of evaluating the accuracy of Poisson approximation to the distribution of a sum of inde...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
AbstractThis paper gives an upper bound for a Wasserstein distance between the distributions of a pa...
Considering the Markov binomial distribution we investigate its convergence to the limiting Poisson ...
AbstractWe present an extension to the multinomial case of former estimations for univariate Poisson...
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...
International audienceWe describe the statistics of the number of occurrences of a string of symbols...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...
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...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
AbstractConsider a sum of Markov dependent lattice variables. The normal approximation is trivial fo...
The paper is concerned with the equilibrium distributions of continuous-time density dependent Marko...
The problem of evaluating the accuracy of Poisson approximation to the distribution of a sum of inde...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
AbstractThis paper gives an upper bound for a Wasserstein distance between the distributions of a pa...
Considering the Markov binomial distribution we investigate its convergence to the limiting Poisson ...
AbstractWe present an extension to the multinomial case of former estimations for univariate Poisson...
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...
International audienceWe describe the statistics of the number of occurrences of a string of symbols...
The paper is concerned with approximating the distribution of a sum W of integer valued random varia...
AbstractPoisson approximation in total variation can be successfully established in a wide variety o...