2 papers
stat.ME2025
From Likelihood to Limit State: A Reliability-Inspired Framework for Bayesian Evidence Estimation and High-dimensional Sampling
Zihan Liao, Binbin Li, Hua-Ping Wan
Bayesian analysis plays a crucial role in estimating distribution of unknown parameters for given data and model. Due to the curse of dimensionality, it becomes difficult for high-…
stat.ME2025
Sequential multiple importance sampling for high-dimensional Bayesian inference
Li Binbin, He Xiao, Liao Zihan
This paper introduces a sequential multiple importance sampling (SeMIS) algorithm for high-dimensional Bayesian inference. The method estimates Bayesian evidence using all generate…