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IDS.190 - Topics in Bayesian Modeling and Computation Jeffrey Miller

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IDS.190 - Topics in Bayesian Modeling and Computation Mark Girolami

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Flexible Perturbation Models for Robustness to Misspecification

Jeffrey Miller (Harvard University)
E18-304

Abstract: In many applications, there are natural statistical models with interpretable parameters that provide insight into questions of interest. While useful, these models are almost always wrong in the sense that they only approximate the true data generating process. In some cases, it is important to account for this model error when quantifying uncertainty in…

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The Statistical Finite Element Method

Mark Girolami (University of Cambridge)
E18-304

Abstract: The finite element method (FEM) is one of the great triumphs of modern day applied mathematics, numerical analysis and software development. Every area of the sciences and engineering has been positively impacted by the ability to model and study complex physical and natural systems described by systems of partial differential equations (PDE) via the…

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