Alexander Ly

Volledige naam

A. Ly

E-mail

Alexander.Ly@cwi.nl

Telefoon

+31 20 592 4086

Kamer

L133

Afdeling(en)

Machine Learning

Functie(s)

Researcher

Startpagina

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

Alexander Ly

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
Temp, A., Ly, A., van Doorn, J., Wagenmakers, E.-J., Tang, Y., Lutz, M., & Teipel, S. (2022). A Bayesian perspective on Biogen's aducanumab trial. Alzheimer's and Dementia, 2022, 1–11. doi:10.1002/alz.12615
Heck, D., Boehm, U., Böing-Messing, F., Bürkner, P.-C., Derks, K., Dienes, Z., … Hoijtink, H. (2022). A review of applications of the Bayes factor in psychological research. Psychological Methods. doi:10.1037/met0000454
Bartoš, F., Gronau, Q., Timmers, B., Otte, W., Ly, A., & Wagenmakers, E.-J. (2021). Bayesian model-averaged meta-analysis in medicine. Statistics in Medicine, 2021, 1–19. doi:10.1002/sim.9170
Weigard, A., Brislin, S., Cope, L., Hardee, J., Martz, M., Ly, A., … Heitzeg, M. (2021). Evidence accumulation and associated error-related brain activity as computationally-informed prospective predictors of substance use in emerging adulthood. Psychopharmacology, 238, 2629–2644. doi:10.1007/s00213-021-05885-w
Ly, A., & Wagenmakers, E.-J. (2021). A critical evaluation of the FBST ev for Bayesian hypothesis testing: Critique of the FBST ev. Computational Brain and Behavior, 5, 564–571. doi:10.1007/s42113-021-00109-y
van Doorn, J., van den Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., … Wagenmakers, E.-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28, 813–826. doi:10.3758/s13423-020-01798-5

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