Bentkus V, Götze F, Paulauskas V. Bounds for the accuracy of Poissonian approximations of stable laws. STOCHASTIC PROCESSES AND THEIR APPLICATIONS. 1996;65(1):55-68.Stable laws G(alpha) admit a well-known series representation of the type [GRAPHICS] where Gamma(1), Gamma(2), ... are the successive times of jumps of a standard Poisson process, and X(1), X(2), ..., denote i.i.d. random variables, independent of Gamma(1), Gamma(2), ... We investigate the rate of approximation of G(alpha) by distributions of partial sums S-n = Sigma(j=1)(n) Gamma(j)(-1/alpha)X(j), and we get (asymptotically) optimal bounds for the variation of G(alpha)-L(S-n). The results obtained complement and improve the results of A. Janicki and P. Kokoszka, and M. Ledoux a...
AbstractBy means of a distributional limit theorem Arjas and Haara (1987) have shown that the total ...
We report the results of several theoretical studies into the convergence rate for certain random se...
The problem of approximating the distribution of a sum S n = Σ i=1n Y i of n discrete random variabl...
AbstractStable law Gz admit a well-known series representation of the typewhere Γ1, Γ2, … are the su...
Multidimensional stable laws Ga admit a well-known Lévy–LePage series repre-sentation Ga=L 1 C. j=1 ...
AbstractEach α-stable distribution can be approximated either by an α-stable distribution with a dis...
It is long known that the distribution of a sum Sn of independent non-negative integer-valued random...
We prove a new class of inequalities, yielding bounds for the normal approximation in the Wasserstei...
We consider the Gaussian approximation for functionals of a Poisson process that are expressible as ...
In certain cases partial sums of i.i.d. random variables with nite variance are better approximated ...
For the partial sums (S,) of independent random variables we define a stochastic process s(n)(t) := ...
textabstractIn certain cases partial sums of i.i.d. random variables with finite variance are better...
AbstractIt is known that the partial maximum of nonstationary Gaussian sequences converges in distri...
International audienceWe describe the statistics of the number of occurrences of a string of symbols...
We provide normal approximation error bounds for sums of the form $\sum_x \xi_x$, indexed by the poi...
AbstractBy means of a distributional limit theorem Arjas and Haara (1987) have shown that the total ...
We report the results of several theoretical studies into the convergence rate for certain random se...
The problem of approximating the distribution of a sum S n = Σ i=1n Y i of n discrete random variabl...
AbstractStable law Gz admit a well-known series representation of the typewhere Γ1, Γ2, … are the su...
Multidimensional stable laws Ga admit a well-known Lévy–LePage series repre-sentation Ga=L 1 C. j=1 ...
AbstractEach α-stable distribution can be approximated either by an α-stable distribution with a dis...
It is long known that the distribution of a sum Sn of independent non-negative integer-valued random...
We prove a new class of inequalities, yielding bounds for the normal approximation in the Wasserstei...
We consider the Gaussian approximation for functionals of a Poisson process that are expressible as ...
In certain cases partial sums of i.i.d. random variables with nite variance are better approximated ...
For the partial sums (S,) of independent random variables we define a stochastic process s(n)(t) := ...
textabstractIn certain cases partial sums of i.i.d. random variables with finite variance are better...
AbstractIt is known that the partial maximum of nonstationary Gaussian sequences converges in distri...
International audienceWe describe the statistics of the number of occurrences of a string of symbols...
We provide normal approximation error bounds for sums of the form $\sum_x \xi_x$, indexed by the poi...
AbstractBy means of a distributional limit theorem Arjas and Haara (1987) have shown that the total ...
We report the results of several theoretical studies into the convergence rate for certain random se...
The problem of approximating the distribution of a sum S n = Σ i=1n Y i of n discrete random variabl...