Two random processes X and Y on a metric space are said to be ε-shy coupled if there is positive probability of them staying at least a positive distance ε apart from each other forever. Interest in the literature centres on nonexistence results subject to topological and geometric conditions; motivation arises from the desire to gain a better understanding of probabilistic coupling. Previous non-existence results for co-adapted shy coupling of reflected Brownian motion required convexity conditions; we remove these conditions by showing the non-existence of shy co-adapted couplings of reflecting Brownian motion in any bounded CAT(0) domain with boundary satisfying uniform exterior sphere and interior cone conditions, for example, simp...
We study co-adapted couplings of (canonical hypoelliptic) diffu-sions on the (subRiemannian) Heisenb...
A lion and a man move continuously in a space X. The aim of the lion is to capture his prey while th...
Stochastic variational inequalities provide a unified treatment for stochastic differential equation...
In this paper, we consider pursuit–evasion and probabilistic consequences of some geometric notions ...
Benjamini, Burdzy, and Chen (2007) introduced the notion of a shy coupling: a coupling of a Markov p...
perverse coupling; reflected Brownian motion; reflection coupling; shy coupling; Skorokhod con-struc...
ABSTRACT. In this paper we introduce three Markovian couplings of Brownian motions on smooth Rie-man...
Maximal couplings are (probabilistic) couplings of Markov processes such that the tail probabilities...
Consider a separable Banach space W supporting a non-trivial Gaussian measure μ. The following is an...
A pair (X; Y) of Markov processes is called a Markov coupling if X and Y have the same transition pr...
We consider a pair of reflected Brownian motions in a Lipschitz planar domain starting from differen...
Starting from the hyperbolic Brownian motion as a time-changed Brownian motion, we explore a set of ...
AbstractLet D and Ω be two convex domains (with smooth boundary) and with corresponding Neumann heat...
The principal theme underlying this work is that of coupling. Coupling is a general technique with a...
International audienceA result of R. Durrett, D. Iglehart and D. Miller states that Brownian meander...
We study co-adapted couplings of (canonical hypoelliptic) diffu-sions on the (subRiemannian) Heisenb...
A lion and a man move continuously in a space X. The aim of the lion is to capture his prey while th...
Stochastic variational inequalities provide a unified treatment for stochastic differential equation...
In this paper, we consider pursuit–evasion and probabilistic consequences of some geometric notions ...
Benjamini, Burdzy, and Chen (2007) introduced the notion of a shy coupling: a coupling of a Markov p...
perverse coupling; reflected Brownian motion; reflection coupling; shy coupling; Skorokhod con-struc...
ABSTRACT. In this paper we introduce three Markovian couplings of Brownian motions on smooth Rie-man...
Maximal couplings are (probabilistic) couplings of Markov processes such that the tail probabilities...
Consider a separable Banach space W supporting a non-trivial Gaussian measure μ. The following is an...
A pair (X; Y) of Markov processes is called a Markov coupling if X and Y have the same transition pr...
We consider a pair of reflected Brownian motions in a Lipschitz planar domain starting from differen...
Starting from the hyperbolic Brownian motion as a time-changed Brownian motion, we explore a set of ...
AbstractLet D and Ω be two convex domains (with smooth boundary) and with corresponding Neumann heat...
The principal theme underlying this work is that of coupling. Coupling is a general technique with a...
International audienceA result of R. Durrett, D. Iglehart and D. Miller states that Brownian meander...
We study co-adapted couplings of (canonical hypoelliptic) diffu-sions on the (subRiemannian) Heisenb...
A lion and a man move continuously in a space X. The aim of the lion is to capture his prey while th...
Stochastic variational inequalities provide a unified treatment for stochastic differential equation...