Alexander Ly

Weigard, A.S, Brislin, S.J, Cope, L.M, Hardee, J.E, Martz, M.E, Ly, A, … Heitzeg, M.M. (2021). Evidence accumulation and associated error-related brain activity as computationally-informed prospective predictors of substance use in emerging adulthood. Psychopharmacology. 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. doi:10.1007/s42113-021-00109-y

van den Bergh, D, Clyde, M.A, Komarlu Narendra Gupta, A.R, de Jong, T, Gronau, Q. F, Marsman, M, … Wagenmakers, E.-J. (2021). A tutorial on Bayesian multi-model linear regression with BAS and JASP. Behavior Research Methods. doi:10.3758/s13428-021-01552-2

Gronau, Q. F, Ly, A, & Wagenmakers, E.-J. (2020). Informed Bayesian t-Tests. American Statistician, 74(2), 137–143. doi:10.1080/00031305.2018.1562983

van den Bergh, D, van Doorn, J, Marsman, M, Draws, T, Kesteren, E.-J, Derks, K, … Wagenmakers, E.-J. (2020). A tutorial on conducting and interpreting a bayesian ANOVA in JASP Tutoriel pour réaliser et interpréter une analyse de variance bayésienne dans JASP. Annee Psychologique, 120(1), 73–96. doi:10.3917/anpsy1.201.0073

van Doorn, J, Ly, A, Marsman, M, & Wagenmakers, E.-J. (2020). Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ. Journal of Applied Statistics. doi:10.1080/02664763.2019.1709053

van Doorn, J, van den Bergh, D, Böhm, U, Dablander, F, Derks, K, Draws, T, … Wagenmakers, E.-J. (2020). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review. doi:10.3758/s13423-020-01798-5

Wagenmakers, E.-J, Love, J, Marsman, M, Jamil, T, Ly, A, Verhagen, J, … Morey, R.D. (2019). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25(1), 58–76. doi:10.3758/s13423-017-1323-7

van Doorn, J, Ly, A, Marsman, M, & Wagenmakers, E.-J. (2019). Bayesian estimation of Kendall's τ using a latent normal approach. Statistics & Probability Letters, 145, 268–272. doi:10.1016/j.spl.2018.10.004

Mac Giolla, E, & Ly, A. (2019). What to do with all these Bayes factors: How to make Bayesian reports in deception research more informative. Legal and Criminological Psychology. doi:10.1111/lcrp.12162