Integration of Active Learning and MCMC Sampling for Efficient Bayesian Calibration of Mechanical Properties

Leon Riccius, Iuri B. C. M. Rocha, Joris Bierkens +2

Recent advancements in Markov chain Monte Carlo (MCMC) sampling and surrogate modelling have significantly enhanced the feasibility of Bayesian analysis across engineering fields.…