Alexander Ly

Full Name

A. Ly

Email

Alexander.Ly@cwi.nl

Phone

+31 20 592 4086

Room

L133

Department(s)

Machine Learning, Machine Learning

Function(s)

Researcher

Homepage

http://www.alexander-ly.com/

Alexander Ly

Ly, A., Böhm, U., & Grünwald, P. (2024). Anytime-valid confidence sequences as a resolution to the Bayesian/frequentist interval debate. Bayesian Analysis, 1–3.
Holzmeister,, F., Johannesson, M., Camerer, C., Chen, Y., Ho, T.-H., Hoogeveen, S., … Dreber, A. (2024). Examining the replicability of online experiments selected by a decision market. Nature Human Behaviour. doi:10.1038/s41562-024-02062-9
Maier, M., Bartoš, F., Quintana, D., Dablander, F., van den Bergh, D., Marsman, M., … Wagenmakers, E.-J. (2024). Model-averaged Bayesian t tests. Psychonomic Bulletin & Review. doi:10.3758/s13423-024-02590-5
Ly, A. (2024). Alexander Ly's contribution to the Discussion of 'Safe testing' by Grünwald, de Heide, and Koolen. Journal of the Royal Statistical Society. Series B: Statistical Methodology, 86(5). doi:10.1093/jrsssb/qkae073
Dablander, F., van den Bergh, D., Wagenmakers, E.-J., & Ly, A. (2024). Default Bayes factors for testing the (in)equality of several population variances. Bayesian Analysis, 19(3), 699–723. doi:10.1214/23-BA1369
ter Schure, J., Pérez, M., Ly, A., & Grünwald, P. (2024). The anytime-valid logrank test: Error control under continuous monitoring with unlimited horizon. The New England Journal of Statistics in Data Science, 2(2), 190–214. doi:10.51387/24-NEJSDS65
Turner, R., Ly, A., & Grünwald, P. (2024). Generic E-variables for exact sequential k-sample tests that allow for optional stopping. Journal of Statistical Planning and Inference, 230, 106116:1–106116:15. doi:10.1016/j.jspi.2023.106116
Pawel, S., Ly, A., & Wagenmakers, E.-J. (2023). Evidential calibration of confidence intervals. American Statistician, 1–11. doi:10.1080/00031305.2023.2216239
Ly, A., & Wagenmakers, E.-J. (2022). Measure-theoretic musings cannot salvage the Full Bayesian Significance Test as a measure of evidence: Rejoinder to Kelter. Computational Brain and Behavior, 5, 583–589. doi:10.1007/s42113-022-00154-1
Wagenmakers, E.-J., & Ly, A. (2022). History and nature of the Jeffreys–Lindley paradox. Archive for History of Exact Sciences, 77, 25–72. doi:10.1007/s00407-022-00298-3

Increasing Scientific Efficiency with Sequential Methods (pre-proposal) (None)