Given a sequence (Mn)∞n=1 of non-negative martingales starting at Mn0 = 1 we find a sequence of convex combinations (M̃n)∞n=1 and a limiting process X such that (M̃nτ) n=1 converges in probability to Xτ, for all finite stopping times τ. The limiting process X then is an optional strong supermartingale. A counter-example reveals that the convergence in probability cannot be replaced by almost sure convergence in this statement. We also give similar convergence results for sequences of optional strong supermartingales (Xn)∞n=1, their left limits (Xn−)∞n=1 and their stochastic integrals ( ϕdXn)∞n=1 and explain the relation to the notion of the Fatou limit
We consider the boundary case in a one-dimensional supercritical branching random walk, and study tw...
Abstract. We prove for a sequence of blockwise m-dependent random vari-ables, with some additional c...
In these notes, we first give a brief overwiew of martingales methods, from Paul Lévy (193...
Given a sequence (M n ) ∞ n=1 (Mn)n=1∞ of nonnegative martingales starting at M n 0 =1 M0n=1, we fin...
AbstractUsing classical results on the projective limit of a sequence of subsets, we show the existe...
Using classical results on the projective limit of a sequence of subsets, we show the existence of m...
Let (S0, S1, . . .) be a supermartingale relative to a nondecreasing sequence of σ-algebras (H≼0, H≼...
Abstract. Let X = (Xt)t≥0 be a semimartingale and H = (Ht)t≥0 be a pre-dictable process taking value...
By using Doob's martingale convergence theorem, this paper presents a class of strong limit theorem...
AbstractSuppose {Xn}n⩾1 are stochastic processes all of whose paths are nonnegative and lie in the s...
This study shows that, for a sequence of nonnegative valued measurable functions, a sequence of conv...
The well-known Doob-Meyer decomposition of a supermartingale as the difference of a martingale and a...
For forward and reverse martingale processes, weak convergence to appropriate stochastic (but, not n...
In [24], Ivanoff and Merzbach introduced the notion of set-indexed strong martingales, a generalizat...
AbstractWe prove a Baum–Katz–Nagaev type rate of convergence in the Marcinkiewicz–Zygmund and Kolmog...
We consider the boundary case in a one-dimensional supercritical branching random walk, and study tw...
Abstract. We prove for a sequence of blockwise m-dependent random vari-ables, with some additional c...
In these notes, we first give a brief overwiew of martingales methods, from Paul Lévy (193...
Given a sequence (M n ) ∞ n=1 (Mn)n=1∞ of nonnegative martingales starting at M n 0 =1 M0n=1, we fin...
AbstractUsing classical results on the projective limit of a sequence of subsets, we show the existe...
Using classical results on the projective limit of a sequence of subsets, we show the existence of m...
Let (S0, S1, . . .) be a supermartingale relative to a nondecreasing sequence of σ-algebras (H≼0, H≼...
Abstract. Let X = (Xt)t≥0 be a semimartingale and H = (Ht)t≥0 be a pre-dictable process taking value...
By using Doob's martingale convergence theorem, this paper presents a class of strong limit theorem...
AbstractSuppose {Xn}n⩾1 are stochastic processes all of whose paths are nonnegative and lie in the s...
This study shows that, for a sequence of nonnegative valued measurable functions, a sequence of conv...
The well-known Doob-Meyer decomposition of a supermartingale as the difference of a martingale and a...
For forward and reverse martingale processes, weak convergence to appropriate stochastic (but, not n...
In [24], Ivanoff and Merzbach introduced the notion of set-indexed strong martingales, a generalizat...
AbstractWe prove a Baum–Katz–Nagaev type rate of convergence in the Marcinkiewicz–Zygmund and Kolmog...
We consider the boundary case in a one-dimensional supercritical branching random walk, and study tw...
Abstract. We prove for a sequence of blockwise m-dependent random vari-ables, with some additional c...
In these notes, we first give a brief overwiew of martingales methods, from Paul Lévy (193...