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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Minimax lower bounds for function estimation on graphs Article
Electronic Journal of Statistics, 12(1), 651-666.January 2018
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Past and Future Dependencies in Meta-Analysis: Safe Statistics for Reducing Health Research Waste Lecture
April 2018 -
Safe probability Article
Journal of Statistical Planning and Inference, 47-63.May 2018 -
Wanneer heb je een experiment voldoende herhaald om overtuigd te kunnen zijn van je resultaten Report
October 2018
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Efficient accumulation of scientific knowledge, research waste and accumulation bias Article
ERCIM News, 8-9.January 2019
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A tight excess risk bound via a unified PAC-Bayesian-Rademacher-Shtarkov-MDL complexity In Proceedings
March 2019
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May 2019
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Safe Testing Tech Report
P.D. Grünwald (Peter), R. de Heide (Rianne) and W.M. Koolen-Wijkstra (Wouter)
June 2019