Anytime-valid confidence sequences as a resolution to the Bayesian/frequentist interval debate

2024-12-21

Additional Metadata
Journal	Bayesian Analysis
Project	Increasing scientific efficiency with sequential methods , Efficient Models of Decision-Making for Asseing Cognitive Processing States
Grant	This work was funded by the The Netherlands Organisation for Scientific Research (NWO); grant id nwo/VI.Veni.211G.040 - Increasing scientific efficiency with sequential methods
Organisation	Machine Learning
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Ly, A., Böhm, U., & Grünwald, P. (2024). Anytime-valid confidence sequences as a resolution to the Bayesian/frequentist interval debate. Bayesian Analysis, 1–3.

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