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IDS.190 Topics in Bayesian Modeling and Computation Jeffrey Miller (Harvard University)

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Statistics and Data Science Seminar Simon Tavaré (Columbia University)

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IDS.190 Topics in Bayesian Modeling and Computation Mark Girolami, University of Cambridge

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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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Inferring the Evolutionary History of Tumors

Simon Tavaré (Columbia University)
E18-304

Abstract: Bulk sequencing of tumor DNA is a popular strategy for uncovering information about the spectrum of mutations arising in the tumor, and is often supplemented by multi-region sequencing, which provides a view of tumor heterogeneity. The statistical issues arise from the fact that bulk sequencing makes the determination of sub-clonal frequencies, and other quantities…

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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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