Alexander Ly
- Full Name
- A. Ly
- Function(s)
- Researcher - Universiteit van Amsterdam
- Alexander.Ly@cwi.nl
- Telephone
- +31 20 592 4086
- Room
- L133
- Department(s)
- Machine Learning
- Homepage
- http://www.alexander-ly.com/
Publications
-
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
-
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
-
Love, J, Selker, R, Marsman, M, Jamil, T, Dropmann, D, Verhagen, J, … Wagenmakers, E.-J. (2019). JASP: Graphical statistical software for common statistical designs. Journal of Statistical Software, 88(1). doi:10.18637/jss.v088.i02
-
Haaf, J.M, Ly, A, & Wagenmakers, E.-J. (2019). Retire significance, but still test hypotheses. Nature, 567(7749).
-
Ly, A, Etz, A, Marsman, M, & Wagenmakers, E.-J. (2019). Replication Bayes factors from evidence updating. Behavior Research Methods, 2498–2508. 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
Current projects with external funding
-
Safe Bayesian Inference: A Theory of Misspecification based on Statistical Learning (SAFEBAYES)