activity
20182023
most citedOn hitting time, mixing time and geometric interpretations of Metropolis-Hastings reversiblizations

2 citations · 7 across the 11 of their papers we have counts for

collaborators

11 papers

math.PR2023

Symmetry and functional inequalities for stable Lévy-type operators

Lu-Jing Huang, Tao Wang

In this paper, we provide the sufficient and necessary conditions for the symmetry of the following stable Lévy-type operator on : $$\mathcal{L}=a(x){Δ^{α…

math.PR2023

Uniqueness of the critical long-range percolation metrics

Jian Ding, Zherui Fan, Lu-Jing Huang

In this work, we study the random metric for the critical long-range percolation on . A recent work by Bäumler [3] implies the subsequential scaling limit, and our ma…

math.PR2022

Dirichlet eigenvalues and exit time moments for symmetric Markov processes

Lu-Jing Huang, Tao Wang

We give some relationships between the first Dirichlet eigenvalues and the exit time moments for the general symmetric Markov processes. As applications, we present some examples,…

math.PR2021

Strict Kantorovich contractions for Markov chains and Euler schemes with general noise

Lu-Jing Huang, Mateusz B. Majka, Jian Wang

We study contractions of Markov chains on general metric spaces with respect to some carefully designed distance-like functions, which are comparable to the total variation and the…

math.PR2021

Variational principles for asymptotic variance of general Markov processes

Lu-Jing Huang, Yong-Hua Mao, Tao Wang

A variational formula for the asymptotic variance of general Markov processes is obtained. As application, we get a upper bound of the mean exit time of reversible Markov processes…

math.PR2020★ 2 cited

Variational Formulas of Asymptotic Variance for General Discrete-time Markov Chains

Lu-Jing Huang, Yong-Hua Mao

The asymptotic variance is an important criterion to evaluate the performance of Markov chains, especially for the central limit theorems. We give the variational formulas for the…

math.PR2020

Variational formulas for the exit time of Hunt processes generated by semi-Dirichlet forms

Lu-Jing Huang, Kyung-Youn Kim, Yong-Hua Mao +1

Variational formulas for the Laplace transform of the exit time from an open set of a Hunt process generated by a regular lower bounded semi-Dirichlet form are established. While f…

math.PR2020★ 1 cited

Approximation of heavy-tailed distributions via stable-driven SDEs

Lu-Jing Huang, Mateusz B. Majka, Jian Wang

Constructions of numerous approximate sampling algorithms are based on the well-known fact that certain Gibbs measures are stationary distributions of ergodic stochastic differenti…

math.PR2020★ 2 cited

Variational principles for the exit time of non-symmetric diffusions

Lu-Jing Huang, Kyung-Youn Kim, Yong-Hua Mao

In this paper we develop some new variational principles for the exit time of non-symmetric diffusions from a domain. As applications, we give some comparison theorems and monotoni…

math.PR2020

Capacity and Exit Time for Non-reversible Diffusions

Lu-Jing Huang, Kyung-Youn Kim

Capacity is an important quantity in potential theory and in the study of Markov processes. We give equivalent conditions between the capacity, the mean exit time, and the Green fu…

math.PR2018★ 2 cited

On hitting time, mixing time and geometric interpretations of Metropolis-Hastings reversiblizations

Michael C. H. Choi, Lu-Jing Huang

Given a target distribution and a proposal chain with generator on a finite state space, in this paper we study two types of Metropolis-Hastings (MH) generator a…