AbstractConvergence of weighted sums of tight random elements {Vn} (in a separable Banach space) which have zero expected values and uniformly bounded rth moments (r > 1) is obtained. In particular, if {ank} is a Toeplitz sequence of real numbers, then | Σk=1∞ ankf(Vk)| → 0 in probability for each continuous linear functional f if and only if ‖Σk=1∞ ankVk ‖→ 0 in probability. When the random elements are independent and max1≤k≤n | ank | = O(n−8) for some 0 < 1s < r − 1, then |Σk=1∞ ankVk ‖→ 0 with probability 1. These results yield laws of large numbers without assuming geometric conditions on the Banach space. Finally, these results can be extended to random elements in certain Fréchet spaces
Let p≥1/α and 1/2<α≤1. Let {X,Xn, n≥1} be a sequence of independent and identically distributed B-v...
Let {Xk} be independent random variables with EXk=0 for all k and let {ank:n≥1, k≥1} be an array of ...
ABSTRACT. Let {Xk} be independent random variables with EXk 0 for all k and let {ank: n> i, k>...
AbstractConvergence of weighted sums of tight random elements {Vn} (in a separable Banach space) whi...
AbstractConvergence in probability for Toeplitz weighted sums is obtained for convex tight random el...
For weighted sums [Sigma]j = 1najVj of independent random elements {Vn, n >= 1} in real separable, R...
AbstractLet X be a (real) separable Banach space, let {Vk} be a sequence of random elements in X, an...
The convergence in mean of a weighted sum ∑kank(Xk−EXk) of random elements in a separable Banach spa...
AbstractLet {Vn; n ≥ 1} be a sequence of random elements in a separable normed linear space E, unifo...
Let {Xni, 1 ≤ i ≤ kn, n ≥ 1} be an array of rowwise independent random elements taking values in a r...
AbstractLet ank, n ≥ 1, k ≥ 1, be a double array of real numbers and let Vn, n ≥ 1, be a sequence of...
For a sequence of Banach space valued random elements {Vn,n≥1} (which are not necessarily independen...
AbstractFor weighted sums Σj = 1najVj of independent random elements {Vn, n ≥ 1} in real separable, ...
Abstract: For a sequence of random elements T n n ≥ 1 in a real separable Banach space , we study th...
ABSTRACT. Consider a sequence of independent random elements {Vn, n> in a real separable normed l...
Let p≥1/α and 1/2<α≤1. Let {X,Xn, n≥1} be a sequence of independent and identically distributed B-v...
Let {Xk} be independent random variables with EXk=0 for all k and let {ank:n≥1, k≥1} be an array of ...
ABSTRACT. Let {Xk} be independent random variables with EXk 0 for all k and let {ank: n> i, k>...
AbstractConvergence of weighted sums of tight random elements {Vn} (in a separable Banach space) whi...
AbstractConvergence in probability for Toeplitz weighted sums is obtained for convex tight random el...
For weighted sums [Sigma]j = 1najVj of independent random elements {Vn, n >= 1} in real separable, R...
AbstractLet X be a (real) separable Banach space, let {Vk} be a sequence of random elements in X, an...
The convergence in mean of a weighted sum ∑kank(Xk−EXk) of random elements in a separable Banach spa...
AbstractLet {Vn; n ≥ 1} be a sequence of random elements in a separable normed linear space E, unifo...
Let {Xni, 1 ≤ i ≤ kn, n ≥ 1} be an array of rowwise independent random elements taking values in a r...
AbstractLet ank, n ≥ 1, k ≥ 1, be a double array of real numbers and let Vn, n ≥ 1, be a sequence of...
For a sequence of Banach space valued random elements {Vn,n≥1} (which are not necessarily independen...
AbstractFor weighted sums Σj = 1najVj of independent random elements {Vn, n ≥ 1} in real separable, ...
Abstract: For a sequence of random elements T n n ≥ 1 in a real separable Banach space , we study th...
ABSTRACT. Consider a sequence of independent random elements {Vn, n> in a real separable normed l...
Let p≥1/α and 1/2<α≤1. Let {X,Xn, n≥1} be a sequence of independent and identically distributed B-v...
Let {Xk} be independent random variables with EXk=0 for all k and let {ank:n≥1, k≥1} be an array of ...
ABSTRACT. Let {Xk} be independent random variables with EXk 0 for all k and let {ank: n> i, k>...