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437 Thu, 8/12/2021, 4:00 PM - 5:50 PM Virtual
Misspecification, Robustness, and Model Assessment — Topic-Contributed Papers
Section on Bayesian Statistical Science, International Society for Bayesian Analysis (ISBA), IMS
Organizer(s): Jeffrey W Miller, Harvard University
Chair(s): Tamara Broderick, MIT
4:05 PM 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
4:25 PM Synthetic Likelihood in Misspecified Models: Consequences and Robustness
David Tyler Frazier, Monash University
4:45 PM Statistical Inference with Stochastic Gradient Algorithms
Jonathan H Huggins, Boston University
5:05 PM Approximating Cross-Validation: Guarantees for Model Assessment and Selection
Ashia Wilson, MIT
5:25 PM Robust and Reproducible Model Selection Using Bagged Posteriors
Jeffrey W Miller, Harvard University; Jonathan H Huggins, Boston University
5:45 PM Floor Discussion