AbstractA p-stable limit theorem holds for partial sums Sn of a stationary sequence, if SnBn → gμ for some 1/p-regularly varying sequence and some non-denegerate strictly p-stable law μ. The case 0 < p < 2 is investigated in detail and simplified necessary and sufficient conditions are given. The conditions consist of a mixing condition and polynomial large deviations for each tail (with a minor additional condition for p = 1).Methods of proving such large deviation results are discussed for ψ-mixing, m-dependent, φ-mixing and associated sequences
For the partial sums (Sn) of independent random variables we define a stochastic process sn(t)colon,...
For the partial sums (Sn) of independent random variables we define a stochastic process sn(t)colon,...
For the partial sums (Sn) of independent random variables we define a stochastic process sn(t)colon,...
Let be a stationary sequence of random variables with partial sums Sn. Necessary and sufficient cond...
AbstractA p-stable limit theorem holds for partial sums Sn of a stationary sequence, if SnBn → gμ fo...
A necessary and sufficient condition for the weak convergence of partial sums of strongly mixing ran...
Let {}n n NX ∈ be a strictly stationary sequence of ρ−-mixing random variables. We proved the almos...
In this paper we present a tail inequality for the maximum of partial sums of a weakly dependent seq...
In this paper we present a tail inequality for the maximum of partial sums of a weakly dependent seq...
In this paper we present a tail inequality for the maximum of partial sums of a weakly dependent seq...
In this paper we present a tail inequality for the maximum of partial sums of a weakly dependent seq...
AbstractSeveral α-stable limit theorems for sums of dependent random vectors are proved via point pr...
For the partial sums (S,) of independent random variables we define a stochastic process s(n)(t) := ...
Abstract. The large deviation problem for sums of i.i.d. random vectors is considered. It is assumed...
The aim of this paper is to provide conditions which ensure that the affinely transformed partial s...
For the partial sums (Sn) of independent random variables we define a stochastic process sn(t)colon,...
For the partial sums (Sn) of independent random variables we define a stochastic process sn(t)colon,...
For the partial sums (Sn) of independent random variables we define a stochastic process sn(t)colon,...
Let be a stationary sequence of random variables with partial sums Sn. Necessary and sufficient cond...
AbstractA p-stable limit theorem holds for partial sums Sn of a stationary sequence, if SnBn → gμ fo...
A necessary and sufficient condition for the weak convergence of partial sums of strongly mixing ran...
Let {}n n NX ∈ be a strictly stationary sequence of ρ−-mixing random variables. We proved the almos...
In this paper we present a tail inequality for the maximum of partial sums of a weakly dependent seq...
In this paper we present a tail inequality for the maximum of partial sums of a weakly dependent seq...
In this paper we present a tail inequality for the maximum of partial sums of a weakly dependent seq...
In this paper we present a tail inequality for the maximum of partial sums of a weakly dependent seq...
AbstractSeveral α-stable limit theorems for sums of dependent random vectors are proved via point pr...
For the partial sums (S,) of independent random variables we define a stochastic process s(n)(t) := ...
Abstract. The large deviation problem for sums of i.i.d. random vectors is considered. It is assumed...
The aim of this paper is to provide conditions which ensure that the affinely transformed partial s...
For the partial sums (Sn) of independent random variables we define a stochastic process sn(t)colon,...
For the partial sums (Sn) of independent random variables we define a stochastic process sn(t)colon,...
For the partial sums (Sn) of independent random variables we define a stochastic process sn(t)colon,...