A central limit theorem is obtained for adapted triangular arrays of real-valued random variables which satisfy an "approximate martingale condition". A previously known martingale central limit theorem is shown to be a special case of this result.martingale approximate martingale central limit theorem
Among the limit theorems of the probability theory, the central limit theorem plays an important rol...
Multivariate versions of the law of large numbers and the cen tral limit theorem for martingales are...
AbstractThe proofs of various central limit theorems for strictly stationary sequences of random var...
This paper presents central limit theorems for triangular arrays of mixingale and near-epoch-depende...
AbstractA central limit theorem is obtained for adapted triangular arrays of real-valued random vari...
A central limit theorem for `1(T)-valued martingale dierence arrays is given, where T is a non-empty...
A Central Limit Theorem for a triangular array of row-wise independent Hilbert-valued random element...
We derive a central limit theorem for triangular arrays of possibly nonstationary random variables s...
In this article, a general central limit theorem for a triangular array of m-dependent random varia...
AbstractWe present a new version of the Central Limit Theorem for multivariate martingales
We present a new version of the Central Limit Theorem for multivariate martingales
International audienceWe prove a central limit theorem for linear triangular arrays under weak depen...
International audienceWe prove a central limit theorem for stationary multiple (random) fields of ma...
AbstractBased on the martingale version of the Skorokhod embedding Heyde and Brown (1970) establishe...
Abstract We derive a central limit theorem for triangular arrays of possibly nonstationary random va...
Among the limit theorems of the probability theory, the central limit theorem plays an important rol...
Multivariate versions of the law of large numbers and the cen tral limit theorem for martingales are...
AbstractThe proofs of various central limit theorems for strictly stationary sequences of random var...
This paper presents central limit theorems for triangular arrays of mixingale and near-epoch-depende...
AbstractA central limit theorem is obtained for adapted triangular arrays of real-valued random vari...
A central limit theorem for `1(T)-valued martingale dierence arrays is given, where T is a non-empty...
A Central Limit Theorem for a triangular array of row-wise independent Hilbert-valued random element...
We derive a central limit theorem for triangular arrays of possibly nonstationary random variables s...
In this article, a general central limit theorem for a triangular array of m-dependent random varia...
AbstractWe present a new version of the Central Limit Theorem for multivariate martingales
We present a new version of the Central Limit Theorem for multivariate martingales
International audienceWe prove a central limit theorem for linear triangular arrays under weak depen...
International audienceWe prove a central limit theorem for stationary multiple (random) fields of ma...
AbstractBased on the martingale version of the Skorokhod embedding Heyde and Brown (1970) establishe...
Abstract We derive a central limit theorem for triangular arrays of possibly nonstationary random va...
Among the limit theorems of the probability theory, the central limit theorem plays an important rol...
Multivariate versions of the law of large numbers and the cen tral limit theorem for martingales are...
AbstractThe proofs of various central limit theorems for strictly stationary sequences of random var...