activity
20182020
most citedSkip-free Markov chains

11 citations · 28 across the 4 of their papers we have counts for

collaborators

11 papers

math.PR20202 cited

On the convergence of an improved and adaptive kinetic simulated annealing

Michael C. H. Choi

Inspired by the work of [Fang et al.. An improved annealing method and its large-time behaviour. Stochastic Process. Appl. (1997), Volume 71 Issue 1 Page 55-74.], who propose an im…

math.PR2019

Analysis of non-reversible Markov chains via similarity orbit

Michael C. H. Choi, Pierre Patie

In this paper, we develop an in-depth analysis of non-reversible Markov chains on denumerable state space from a similarity orbit perspective. In particular, we study the class of…

math.PR2019

Universality of the Langevin diffusion as scaling limit of a family of Metropolis-Hastings processes I: fixed dimension

Michael C. H. Choi

Given a target distribution on a general state space and a proposal Markov jump process with generator , the purpose of this paper is to investigate two univer…

math.PR20196 cited

A Hoeffding's inequality for uniformly ergodic diffusion process

Michael C. H. Choi, Evelyn Li

In this note, we present a version of Hoeffding's inequality in a continuous-time setting, where the data stream comes from a uniformly ergodic diffusion process. Similar to the we…

math.PR2019

Entropy flow and De Bruijn's identity for a class of stochastic differential equations driven by fractional Brownian motion

Michael C. H. Choi, Chihoon Lee, Jian Song

Motivated by the classical De Bruijn's identity for the additive Gaussian noise channel, in this paper we consider a generalized setting where the channel is modelled via stochasti…

math.PR201911 cited

Skip-free Markov chains

Michael C. H. Choi, Pierre Patie

The aim of this paper is to develop a general theory for the class of skip-free Markov chains on denumerable state space. This encompasses their potential theory via an explicit ch…