Safe Bayesian Inference: A Theory of Misspecification based on Statistical Learning April 2017 - September 2022
Collection
Collection
This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/617.001.651 - Safe Bayesian Inference: A Theory of Misspecification based on Statistical Learning
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Accumulation Bias in meta-analysis: the need to consider time in error control [version 1; peer review: two approved] Article
F1000ResearchJune 2019
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September 2019
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Efficient science + meta-analysis – Bayes comes in, and p-values are out: especially for frequentists! Presentation
September 2019 -
Safe Bayesian Linear Regression Tech Report
R. de Heide (Rianne), A.A. Kirichenko (Alisa), N.A. Mehta (Nishant) and P.D. Grünwald (Peter)
October 2019
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Minimum description length revisited Article
Mathematics for industry, 11(1), 1930001:1-1930001:29.November 2019
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PAC-Bayes unexpected Bernstein inequality In Proceedings
Z. Mhammedi (Zakaria), P.D. Grünwald (Peter) and B. Guedj (Benjamin)
December 2019
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Fast rates for general unbounded loss functions: From ERM to generalized Bayes Article
Journal of Machine Learning Research, 1-80.March 2020
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Informed Bayesian t-Tests Article
American Statistician, 74(2), 137-143.Q. F. Gronau (Quentin), A. Ly (Alexander) and E.-J. Wagenmakers (Eric-Jan)
April 2020