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Coupling material and mechanical design processes via computer model calibration
Computer model calibration typically operates by choosing parameter valu...
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Efficient Marginalization-based MCMC Methods for Hierarchical Bayesian Inverse Problems
Hierarchical models in Bayesian inverse problems are characterized by an...
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A Large Scale Spatio-temporal Binomial Regression Model for Estimating Seroprevalence Trends
This paper develops a large-scale Bayesian spatio-temporal binomial regr...
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Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging
Most analyses of neuroimaging data involve studying one or more regions ...
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D. Andrew Brown
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