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437
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Thu, 8/12/2021,
4:00 PM -
5:50 PM
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Virtual
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Misspecification, Robustness, and Model Assessment — Topic-Contributed Papers
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Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), IMS
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Organizer(s): Jeffrey W Miller, Harvard University
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Chair(s): Tamara Broderick, MIT
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4:05 PM
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An Automatic Finite-Sample Robustness Metric: Can Dropping a Little Data Change Conclusions?
Ryan Giordano, Massachusetts Institute of Technology; Rachael Meager, London School of Economics; Tamara Broderick, MIT
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4:25 PM
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Synthetic Likelihood in Misspecified Models: Consequences and Robustness
David Tyler Frazier, Monash University
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4:45 PM
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Statistical Inference with Stochastic Gradient Algorithms
Jonathan H Huggins, Boston University
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5:05 PM
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Approximating Cross-Validation: Guarantees for Model Assessment and Selection
Ashia Wilson, MIT
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5:25 PM
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Robust and Reproducible Model Selection Using Bagged Posteriors
Jeffrey W Miller, Harvard University; Jonathan H Huggins, Boston University
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5:45 PM
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Floor Discussion
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