Given a sequence (mn) of random probability measures on a metric space S, consider the conditions: (i) mn/m (weakly) a.s. for some random probability measure m on S; (ii) mn(f) converges a.s. for all f2Cb(S). Then, (i) implies (ii), while the converse is not true, even if S is separable. For (i) and (ii) to be equivalent, it is enough that S is Radon (i.e. each probability on the Borel sets of S is tight) or that the sequence (Pmn) is tight, where Pmn($)ZE(mn($)). In particular, (i)5(ii) in case S is Polish. The latter result is still available if a.s. convergence is weakened into convergence in probability. In case SZTN with T Radon, a.s. convergence of mn(f), for those f2Cb(S) which are finite products of elements of Cb(T), is suff...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...
Given a sequence (mn) of random probability measures on a metric space S, consider the conditions: ...
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
Let [phi],[phi]1,[phi]2,... be a sequence of random compact sets on a complete and separable metric ...
summary:A sequence of random elements $\{X_j, j\in J\}$ is called strongly tight if for an arbitrary...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
In this paper we review analogues of narrow ( = weak) convergence of probability measures on a metri...
In the paper we study sequences of random functions which are defined by some interpolation procedur...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
Summary. Subspaces Da, a> 0, of D[0, 1] are defined and given cor~p!ete metrics d~ which are stro...
In the paper we study sequences of random functions which are defined by some interpolation procedur...
In the paper we study sequences of random functions which are defined by some interpolation procedur...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...
Given a sequence (mn) of random probability measures on a metric space S, consider the conditions: ...
none3noGiven a sequence (mn) of random probability measures on a metric space S, consider the condit...
Let [phi],[phi]1,[phi]2,... be a sequence of random compact sets on a complete and separable metric ...
summary:A sequence of random elements $\{X_j, j\in J\}$ is called strongly tight if for an arbitrary...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
In this paper we review analogues of narrow ( = weak) convergence of probability measures on a metri...
In the paper we study sequences of random functions which are defined by some interpolation procedur...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
Summary. Subspaces Da, a> 0, of D[0, 1] are defined and given cor~p!ete metrics d~ which are stro...
In the paper we study sequences of random functions which are defined by some interpolation procedur...
In the paper we study sequences of random functions which are defined by some interpolation procedur...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
A notion of convergence in distribution for non (necessarily) measurable random elements, due to Hof...
We introduce the notion of weakly approaching sequences of distributions, which is a generalization ...