AbstractThis article deals with quantitative results by involving the standard modulus of continuity in Banach spaces. These concern convergence in distribution for Banach space-valued martingale difference sequences and weak convergence of the distribution of random polygonal lines to the Wiener-measure on C([0, 1]). A general theorem is given with applications to the central limit theorem and weak law of large numbers for Banach space-valued martingales. Another general theorem is presented on the weak invariance principle with an application to a central limit theorem for real-valued martingales. The exposed results generalize earlier related results of Butzer, Hahn, Kirschfink, and Roeckerath
A Central Limit Theorem for a triangular array of row-wise independent Hilbert-valued random element...
Let (B,[short parallel]·[short parallel]) be a real separable Banach space of dimension 1[less-than...
AbstractThe main result of this paper is the derivation of a convergence theorem for certain marting...
AbstractThis article deals with quantitative results by involving the standard modulus of continuity...
AbstractThis paper is concerned with large-O error estimates concerning convergence in distribution ...
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The classical Donsker weak invariance principle is extended to a Besov spaces framework. Polygonal l...
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The main result of this paper is the derivation of a convergence theorem for certain martingales wit...
Multivariate versions of the law of large numbers and the central limit theorem for martingales are ...
A Central Limit Theorem for a triangular array of row-wise independent Hilbert-valued random element...
Let (B,[short parallel]·[short parallel]) be a real separable Banach space of dimension 1[less-than...
AbstractThe main result of this paper is the derivation of a convergence theorem for certain marting...
AbstractThis article deals with quantitative results by involving the standard modulus of continuity...
AbstractThis paper is concerned with large-O error estimates concerning convergence in distribution ...
International audienceWe prove a central limit theorem for stationary multiple (random) fields of ma...
In this paper, we study the weak invariance principle for stationary ortho-martingales with values i...
It is shown, with the use of a concentration inequality of LeCam, that associated with an infinitely...
In this paper, we give rates of convergence, for minimal distances and for the uniform distance, bet...
For forward and reverse martingale processes, weak convergence to appropriate stochastic (but, not n...
The classical Donsker weak invariance principle is extended to a Besov spaces framework. Polygonal l...
Weak invariance principles for certain continuous time parameter stochastic processes (including mar...
In this paper we give equivalent conditions on the central limit theorem in total variation norm for...
The main result of this paper is the derivation of a convergence theorem for certain martingales wit...
Multivariate versions of the law of large numbers and the central limit theorem for martingales are ...
A Central Limit Theorem for a triangular array of row-wise independent Hilbert-valued random element...
Let (B,[short parallel]·[short parallel]) be a real separable Banach space of dimension 1[less-than...
AbstractThe main result of this paper is the derivation of a convergence theorem for certain marting...