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20192021
most citedLong time behavior of Levy-driven Ornstein-Uhlenbeck process with regime-switchin

1 citations · 2 across the 4 of their papers we have counts for

collaborators

6 papers

math.PR2021

Optimal stopping time on semi-Markov processes with finite horizon

Fang Chen, Xianping Guo, Zhong-Wei Liao

In this paper, we consider the optimal stopping problem on semi-Markov processes (SMPs) with finite horizon, and aim to establish the existence and computation of optimal stopping…

math.OC2021

Discounted semi-Markov games with incomplete information on one side

Fang Chen, Xianping Guo, Zhong-Wei Liao

This work considers two-player zero-sum semi-Markov games with incomplete information on one side and perfect observation. At the beginning, the system selects a game type accordin…

math.PR20211 cited

Optimal stopping time on discounted semi-Markov processes

Fang Chen, Xianping Guo, Zhong-Wei Liao

This paper attempts to study the optimal stopping time for semi-Markov processes (SMPs) under the discount optimization criteria with unbounded cost rates. In our work, we introduc…

math.PR2020

Estimate the exponential convergence rate of f-ergodicity via spectral gap

Xianping Guo, Zhong-Wei Liao

This paper studies the f-ergodicity and its exponential convergence rate for continuous-time Markov chain. Assume f is square integrable, for reversible Markov chain, it is proved…

math.PR2020

On Stein's factors for Poisson approximation in Wasserstein distance with non-linear transportation costs

Zhong-Wei Liao, Yutao Ma, Aihua Xia

We establish various bounds on the solutions to a Stein equation for Poisson approximation in Wasserstein distance with non-linear transportation costs. The proofs are a refinement…

math.PR20191 cited

Long time behavior of Levy-driven Ornstein-Uhlenbeck process with regime-switchin

Zhong-Wei Liao, Jinghai Shao

In this work we investigate the long time behavior of the Ornstein-Uhlenbeck process driven by Levy noise with regime-switching. We provide explicit criteria on the transience and…