Qingping Zhou

activity

20162026

most citedAn approximate empirical Bayesian method for large-scale linear-Gaussian inverse problems

8 citations · 16 across the 10 of their papers we have counts for

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3 papers · 1 filter

stat.CO2024

Fused $L_{1/2}$ prior for large scale linear inverse problem with Gibbs bouncy particle sampler

Xiongwen Ke, Yanan Fan, Qingping Zhou

In this paper, we study Bayesian approach for solving large scale linear inverse problems arising in various scientific and engineering fields. We propose a fused $L_{1/2}$ prior w…

stat.CO2020

Inferring the unknown parameters in Differential Equation by Gaussian Process Regression with Constraint

Ying Zhou, Hongqiao Wang

Differential Equation (DE) is a commonly used modeling method in various scientific subjects such as finance and biology. The parameters in DE models often have interesting scienti…

stat.CO2016

A hybrid adaptive MCMC algorithm in function spaces

Qingping Zhou, Zixi Hu, Zhewei Yao +1

The preconditioned Crank-Nicolson (pCN) method is a Markov Chain Monte Carlo (MCMC) scheme, specifically designed to perform Bayesian inferences in function spaces. Unlike many sta…

Fused L1/2​ prior for large scale linear inverse problem with Gibbs bouncy particle sampler

Inferring the unknown parameters in Differential Equation by Gaussian Process Regression with Constraint

A hybrid adaptive MCMC algorithm in function spaces

Fused $L_{1/2}$ prior for large scale linear inverse problem with Gibbs bouncy particle sampler