Add to ORKGThese are the notes for the minicourse on Markov chains delivered at the Saint Petersburg Summer School, June 2012. The main emphasis is on methods for estimating mixing times (for finite chains) and escape rates (for infinite chains). Lamplighter groups are key examples in both topics and the Varopolous-Carne long range estimate is useful in both settings
International audienceThis book covers the classical theory of Markov chains on general state-spaces...
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessib...
In this thesis, we deal with the upper and lower bounds for the mixing time of reversi- ble homogene...
These are the notes for the minicourse on Markov chains delivered at the Saint Petersburg Summer Sch...
Markov Chains and Mixing Times is a magical book, managing to be both friendly and deep. It gently i...
In the past few years we have seen a surge in the theory of finite Markov chains, by way of new tech...
Mixing and hitting times are fundamental parameters of a Markov chain. In this mini-course I will di...
This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains...
Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov c...
Monte Carlo algorithms often depend on Markov chains to sample from very large data sets. A key ingr...
This thesis is focused on Markov chains and their application in genetics. Special focus is on conve...
The derivation of the expected time to coupling in a Markov chain and its relation to the expected t...
Thesis (Ph.D.)--University of Washington, 2022We introduce a versatile technique called spectral ind...
Abstract. We develop Markov chain mixing time estimates for a class of Markov chains with restricted...
The focus of the thesis is the convergence of irreducible aperiodic homoge- neous Markov chains with...
International audienceThis book covers the classical theory of Markov chains on general state-spaces...
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessib...
In this thesis, we deal with the upper and lower bounds for the mixing time of reversi- ble homogene...
These are the notes for the minicourse on Markov chains delivered at the Saint Petersburg Summer Sch...
Markov Chains and Mixing Times is a magical book, managing to be both friendly and deep. It gently i...
In the past few years we have seen a surge in the theory of finite Markov chains, by way of new tech...
Mixing and hitting times are fundamental parameters of a Markov chain. In this mini-course I will di...
This book provides an undergraduate-level introduction to discrete and continuous-time Markov chains...
Markov Chains: Analytic and Monte Carlo Computations introduces the main notions related to Markov c...
Monte Carlo algorithms often depend on Markov chains to sample from very large data sets. A key ingr...
This thesis is focused on Markov chains and their application in genetics. Special focus is on conve...
The derivation of the expected time to coupling in a Markov chain and its relation to the expected t...
Thesis (Ph.D.)--University of Washington, 2022We introduce a versatile technique called spectral ind...
Abstract. We develop Markov chain mixing time estimates for a class of Markov chains with restricted...
The focus of the thesis is the convergence of irreducible aperiodic homoge- neous Markov chains with...
International audienceThis book covers the classical theory of Markov chains on general state-spaces...
The Wiley-Interscience Paperback Series consists of selected books that have been made more accessib...
In this thesis, we deal with the upper and lower bounds for the mixing time of reversi- ble homogene...