Add to ORKGThe derivation of the expected time to coupling in a Markov chain and its relation to the expected time to mixing (as introduced by the author in “Mixing times with applications to perturbed Markov chains ” Linear Algebra Appl. (417, 108-123 (2006)) are explored. The two-state cases and three-state cases are examined in detail. 1
The goal of this work is threefold. Firstly, we review some general notions and results related to c...
Convergence of the marginal distribution of a Markov chain to its stationary distribution is an esse...
Abstract. We develop Markov chain mixing time estimates for a class of Markov chains with restricted...
AbstractThe derivation of the expected time to coupling in a Markov chain and its relation to the ex...
The distribution of the “mixing time” or the “time to stationarity” in a discrete time irreducible M...
In the past few years we have seen a surge in the theory of finite Markov chains, by way of new tech...
AbstractA measure of the “mixing time” or “time to stationarity” in a finite irreducible discrete ti...
Mixing and hitting times are fundamental parameters of a Markov chain. In this mini-course I will di...
This book is an introduction to the modern approach to the theory of Markov chains. The main goal of...
AbstractIn an earlier paper [J.J. Hunter, Mixing times with applications to perturbed Markov chains,...
For the probabilistic model of shuffling by random transpositions we provide a coupling construction...
In this thesis, we deal with the upper and lower bounds for the mixing time of reversi- ble homogene...
The focus of the thesis is the convergence of irreducible aperiodic homoge- neous Markov chains with...
We determine the mixing time (up to a constant factor) of the Markov chain whose state space consist...
AbstractConsider the class of discrete time, general state space Markov chains which satisfy a “unif...
The goal of this work is threefold. Firstly, we review some general notions and results related to c...
Convergence of the marginal distribution of a Markov chain to its stationary distribution is an esse...
Abstract. We develop Markov chain mixing time estimates for a class of Markov chains with restricted...
AbstractThe derivation of the expected time to coupling in a Markov chain and its relation to the ex...
The distribution of the “mixing time” or the “time to stationarity” in a discrete time irreducible M...
In the past few years we have seen a surge in the theory of finite Markov chains, by way of new tech...
AbstractA measure of the “mixing time” or “time to stationarity” in a finite irreducible discrete ti...
Mixing and hitting times are fundamental parameters of a Markov chain. In this mini-course I will di...
This book is an introduction to the modern approach to the theory of Markov chains. The main goal of...
AbstractIn an earlier paper [J.J. Hunter, Mixing times with applications to perturbed Markov chains,...
For the probabilistic model of shuffling by random transpositions we provide a coupling construction...
In this thesis, we deal with the upper and lower bounds for the mixing time of reversi- ble homogene...
The focus of the thesis is the convergence of irreducible aperiodic homoge- neous Markov chains with...
We determine the mixing time (up to a constant factor) of the Markov chain whose state space consist...
AbstractConsider the class of discrete time, general state space Markov chains which satisfy a “unif...
The goal of this work is threefold. Firstly, we review some general notions and results related to c...
Convergence of the marginal distribution of a Markov chain to its stationary distribution is an esse...
Abstract. We develop Markov chain mixing time estimates for a class of Markov chains with restricted...