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Uncertainty Quantification using a random effects hierarchical Bayesian inferential framework

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The directories contatined in this repository contain code for uncertainty quantification in materials models using a random effects hierarchical Bayesian inferential framework.

VPSC_MCMC_no_discrepancy ---> UQ in the phenomenological VPSC model ---> Inference on unknown model parameters and features of the data generation process ---> Prediction for unobserved data ---> Sources of uncertainty accounted for: observation error, sample-to-sample experimental variance ---> Model misfit is not considered here

VPSC_MCMC_with_discrepancy ---> UQ in the phenomenological VPSC model ---> Inference on unknown model parameters and features of the data generation process ---> Prediction for unobserved data ---> Sources of uncertainty accounted for: observation error, sample-to-sample experimental variance, model discrepancy

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Uncertainty Quantification using a random effects hierarchical Bayesian inferential framework

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