Auflistung Nach Schlagwort "Markov Chain Monte-Carlo"
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Approximate Bayesian computation for granular and molecular dynamics simulations
(2016)The effective integration of models with data through Bayesian uncertainty quantification hinges on the formulation of a suitable likelihood function. In many cases such a likelihood may not be readily available or it may ... -
Bayesian annealed sequential importance sampling: An unbiased version of transitional Markov chain Monte Carlo
(2018)The transitional Markov chain Monte Carlo (TMCMC) is one of the efficient algorithms for performing Markov chain Monte Carlo (MCMC) in the context of Bayesian uncertainty quantification in parallel computing architectures. ... -
A fast Bayesian inference scheme for identification of local structural properties of layered composites based on wave and finite element-assisted metamodeling strategy and ultrasound measurements
(2020)Reliable verification and evaluation of the mechanical properties of a layered composite ensemble are critical for industrially relevant applications, however it still remains an open engineering challenge. In this study, ... -
Implementation of an adaptive meta-model for Bayesian finite element model updating in time domain
(2017)This work explores the feasibility of integrating an adaptive meta-model into a finite element model updating formulation using dynamic response data. A Bayesian model updating approach based on a stochastic simulation ...