activity
20122023
most citedModerate Deviations for Mean Field Particle Models

3 citations · 6 across the 6 of their papers we have counts for

collaborators

6 papers

math.PR2023

On Time Uniform Wong-Zakai Approximation Theorems

Pierre Del Moral, Shulan Hu, Ajay Jasra +2

We consider the long time behavior of Wong-Zakai approximations of stochastic differential equations. These piecewise smooth diffusion approximations are of great importance in man…

stat.CO2023★ 1 cited

Bayesian Parameter Inference for Partially Observed Diffusions using Multilevel Stochastic Runge-Kutta Methods

Pierre Del Moral, Shulan Hu, Ajay Jasra +2

We consider the problem of Bayesian estimation of static parameters associated to a partially and discretely observed diffusion process. We assume that the exact transition dynamic…

math.ST2023

Maximum Entropy Estimator for Hidden Markov Models: Reduction to Dimension 2

Shulan Hu, Xinyu Wang, Liming Wu

In the paper, we introduce the maximum entropy estimator based on 2-dimensional empirical distribution of the observation sequence of hidden Markov model , when the sample size is…

math.PR2019

Asymptotics for stochastic Burgers equation with jumps

Shulan Hu, Ran Wang

For one-dimensional stochastic Burgers equation driven by Brownian motion and Poisson process, we study the -uniformly exponential ergodicity with , the moderate d…

math.PR2018★ 2 cited

Central limit theorem and moderate deviations for a class of semilinear SPDES

Shulan Hu, Ruinan Li, Xinyu Wang

In this paper we prove a central limit theorem and a moderate deviation principle for a class of semilinear stochastic partial differential equations, which contain Burgers' equati…

math.PR2012★ 3 cited

Moderate Deviations for Mean Field Particle Models

Pierre Del Moral, Shulan Hu, Liming Wu

This article is concerned with moderate deviation principles of a general class of mean eld type interacting particle models. We discuss functional moderate deviations of the occup…