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Coupling material and mechanical design processes via computer model calibration
Computer model calibration typically operates by choosing parameter valu...
07/22/2019 ∙ by Carl Ehrett, et al. ∙
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Efficient Marginalization-based MCMC Methods for Hierarchical Bayesian Inverse Problems
Hierarchical models in Bayesian inverse problems are characterized by an...
11/02/2018 ∙ by Arvind K. Saibaba, et al. ∙
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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...
03/29/2018 ∙ by Stella Watson Self, et al. ∙
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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 ...
10/27/2017 ∙ by D. Andrew Brown, et al. ∙
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