Bayesian inference for the stochastic identification of elastoplastic material parameters: Introduction, misconceptions and additional insight.
Hussein RappelLars A. A. BeexJack S. HaleStéphane P. A. BordasPublished in: CoRR (2016)
Keyphrases
- bayesian inference
- hyperparameters
- prior distribution
- probabilistic model
- prior information
- variational bayes
- bayesian model
- statistical inference
- expectation maximization
- bayesian methods
- gibbs sampler
- variational inference
- particle filter
- machine learning
- markov chain monte carlo
- bayesian learning
- monte carlo
- parameter estimation
- hierarchical bayesian
- weighted model counting
- hidden variables
- parameter space
- support vector