Bayesian Updating and Uncertainty Quantification using Sequential Tempered MCMC with the Rank-One Modified Metropolis Algorithm

23 April 2018

Papers citing "Bayesian Updating and Uncertainty Quantification using Sequential Tempered MCMC with the Rank-One Modified Metropolis Algorithm"

3 / 3 papers shown

Title
General multi-fidelity surrogate models: Framework and active learning strategies for efficient rare event simulation Promiti Chakroborty Somayajulu L. N. Dhulipala Yifeng Che Wen Jiang B. Spencer J. Hales Michael D. Shields AI4CE 21 3 0 07 Dec 2022
Generalized Transitional Markov Chain Monte Carlo Sampling Technique for Bayesian Inversion Han Lu Mohammad Khalil T. Catanach Jiefu Chen Xuqing Wu Xin Fu C. Safta Yueqin Huang 17 0 0 03 Dec 2021
Bayesian inference of Stochastic reaction networks using Multifidelity Sequential Tempered Markov Chain Monte Carlo T. Catanach Huy D. Vo B. Munsky 25 12 0 06 Jan 2020