This is a case study concerning the rate at which probabilistic coupling occurs for nilpotent diffusions. We focus on the simplest case of Kolmogorov diffusion (Brownian motion together with its time integral, or, slightly more generally, together with a finite number of iterated time integrals). In this case there can be no Markovian maximal coupling. Indeed, Markovian couplings cannot even be efficient (extending the terminology of Burdzy and Kendall, Efficient Markovian couplings: examples and counterexamples; Annals of Applied Probability, 2000). Finally, at least in the classical case of a single time integral, it is not possible to choose a Markovian coupling that is optimal in the sense of simultaneously minimizing the probability of...
Classical coupling constructions arrange for copies of the same Markov process started at two differ...
In this paper we develop a general framework for constructing and analyzing coupled Markov chain Mon...
The main focus of this thesis is probabilistic coupling. This technique and its connection with the ...
The Kolmogorov (1934) diffusion is the two-dimensional diffusion generated by real Brownian motion B...
Maximal couplings are (probabilistic) couplings of Markov processes such that the tail probabilities...
In this paper we study the notion of an efficient coupling of Markov processes. Informally, an effic...
This paper answers a question of Émery (2009) by constructing an explicit coupling of two copies of ...
In this paper we study the notion of an efficient coupling of Markov processes. Informally, an effic...
In this paper we study the notion of an efficient coupling of Markov processes. Informally, an effic...
We exhibit some explicit co-adapted couplings for n-dimensional Brownian motion and all its Lévy st...
We show how to build an immersion coupling of a two-dimensional Brownian motion (W1,W2) along with (...
This paper describes two explicit couplings of standard Brownian motions BB and VV, which naturally ...
Algorithms are introduced that produce optimal Markovian couplings for large finite-state-space disc...
We study optimal Markovian couplings of Markov processes, where the optimality is understood in term...
Classical coupling constructions arrange for copies of the same Markov process started at two dif- f...
Classical coupling constructions arrange for copies of the same Markov process started at two differ...
In this paper we develop a general framework for constructing and analyzing coupled Markov chain Mon...
The main focus of this thesis is probabilistic coupling. This technique and its connection with the ...
The Kolmogorov (1934) diffusion is the two-dimensional diffusion generated by real Brownian motion B...
Maximal couplings are (probabilistic) couplings of Markov processes such that the tail probabilities...
In this paper we study the notion of an efficient coupling of Markov processes. Informally, an effic...
This paper answers a question of Émery (2009) by constructing an explicit coupling of two copies of ...
In this paper we study the notion of an efficient coupling of Markov processes. Informally, an effic...
In this paper we study the notion of an efficient coupling of Markov processes. Informally, an effic...
We exhibit some explicit co-adapted couplings for n-dimensional Brownian motion and all its Lévy st...
We show how to build an immersion coupling of a two-dimensional Brownian motion (W1,W2) along with (...
This paper describes two explicit couplings of standard Brownian motions BB and VV, which naturally ...
Algorithms are introduced that produce optimal Markovian couplings for large finite-state-space disc...
We study optimal Markovian couplings of Markov processes, where the optimality is understood in term...
Classical coupling constructions arrange for copies of the same Markov process started at two dif- f...
Classical coupling constructions arrange for copies of the same Markov process started at two differ...
In this paper we develop a general framework for constructing and analyzing coupled Markov chain Mon...
The main focus of this thesis is probabilistic coupling. This technique and its connection with the ...