Invited discussion to the paper Using Stacking to Average Bayesian Predictive Distributions by Yao, Vehtari, Simpson and Gelman
Peter Grünwald and Rianne de Heide
Bayesian Analysis 13 (2018), no. 3, 917-1003.
Fixed-Confidence Guarantees for Bayesian Best-Arm Identification
Xuedong Shang, Rianne de Heide, Emilie Kaufman, Pierre Ménard and Michal Valko
HAL-02330187, arXiv 1910.10945, 2019; Accepted to AISTATS 2020
Safe-Bayesian Generalized Linear Regression
Rianne de Heide, Alisa Kirichenko, Nishant Mehta and Peter Grünwald
arXiv 1910.09227, 2019; Accepted to AISTATS 2020
Peter Grünwald, Rianne de Heide and Wouter Koolen
arXiv 1906.07801, 2019
The truth-convergence of open-minded Bayesianism
Tom F. Sterkenburg and Rianne de Heide
Submitted. Preliminary version available on request. 2019
Accepted to the Formal Epistemology Workshop 2019 (60 minutes talk, commentary and discussion), and the biennial conference of the European Philosophy of Science Association.
Optional Stopping with Bayes Factors: a categorization and extension of folklore results, with an application to invariant situations
Allard Hendriksen, Rianne de Heide and Peter Grünwald
arXiv 1807.09077, 2018. Submitted.
Why optional stopping is a problem for Bayesians
Rianne de Heide and Peter Grünwald
arXiv 1708.08278, 2018. Submitted.
The Safe-Bayesian Lasso (MSc Thesis)
Rianne de Heide, 2016