Alexander Ly

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

Ly, A, Etz, A, Marsman, M, & Wagenmakers, E.-J. (2018). Replication Bayes factors from evidence updating. Behavior Research Methods, 1–11. doi:10.3758/s13428-018-1092-x

Hu, C.-P, Kong, X.-Z, Wagenmakers, E.-J, Ly, A, & Peng, K. (2018). The Bayes factor and its implementation in JASP: A practical primer. Advances in Psychological Science, 26(6), 951–965.

Ly, A. (2018, January 19). Bayes factors for research workers.

Ly, A, Marsman, M, & Wagenmakers, E.-J. (2018). Analytic posteriors for Pearson's correlation coefficient. Statistica Neerlandica, 72(1), 4–13. doi:10.1111/stan.12111

Ly, A, Raj, A, Etz, A, Marsman, M, Gronau, Q. F, & Wagenmakers, E.-J. (2018). Bayesian reanalyses from summary statistics: A guide for academic consumers. Advances in Methods and Practices in Psychological Science, 1(3), 367–374. doi:10.1177/2515245918779348

Wagenmakers, E.-J, Marsman, M, Jamil, T, Ly, A, Verhagen, J.H, Love, J, … Morey, R.D. (2017). Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin & Review, 25(1), 35–57. doi:10.3758/s13423-017-1343-3