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stat.ME2024
Building Population-Informed Priors for Bayesian Inference Using Data-Consistent Stochastic Inversion
Rebekah D. White, John D. Jakeman, Tim Wildey +1
Bayesian inference provides a powerful tool for leveraging observational data to inform model predictions and uncertainties. However, when such data is limited, Bayesian inference…
math.NA2024
A Distributions-based Approach for Data-Consistent Inversion
Kirana Bergstrom, Troy Butler, Tim Wildey
We formulate a novel approach to solve a class of stochastic problems, referred to as data-consistent inverse (DCI) problems, which involve the characterization of a probability me…