Journal Articles
Hagar, Luke and Stevens, Nathaniel T. (2025). An economical approach to design posterior analyses. Journal of the American Statistical Association, 1-10. doi: 10.1080/01621459.2025.2476221
Hagar, Luke and Stevens, Nathaniel T. (2025). Bioequivalence design with sampling distribution segments. Statistics in Medicine, 44 (3-4) e10321, e10321. doi: 10.1002/sim.10321
Cichocki, Wladyslaw, Kaminskaia, Svetlana and Hagar, Luke (2024). Regional variation in articulation rate in French spoken in Canada. Journal of the International Phonetic Association, 54 (1) PII S0025100323000154, 126-145. doi: 10.1017/s0025100323000154
Hagar, Luke and Stevens, Nathaniel T. (2024). Fast power curve approximation for posterior analyses. Bayesian Analysis. doi: 10.1214/24-ba1469
Lu, Lu, Anderson-Cook, Christine M., Stevens, Nathaniel T. and Hagar, Luke (2022). Using a baseline with the probability of agreement to compare distribution characteristics. Quality Engineering, 34 (3), 322-343. doi: 10.1080/08982112.2022.2073452
Stevens, Nathaniel T. and Hagar, Luke (2022). Comparative probability metrics: using posterior probabilities to account for practical equivalence in A/B tests. The American Statistician, 76 (3), 224-237. doi: 10.1080/00031305.2021.2000495
Conference Papers
Kaminskaia, Svetlana, Hagar, Luke, Gadbois, Nathalie and Van Leeuwen, Jocelyn (2025). It doesn’t sound French, or does it?. 15th Pronunciation in Second Language Learning and Teaching Conference, Ames, IA, United States, 12-14 September 2024. Ames, IA, United States: Iowa State University Digital Press. doi: 10.31274/psllt.18435
Deng, Alex, Hagar, Luke, Stevens, Nathaniel T., Xifara, Tatiana and Gandhi, Amit (2024). Metric decomposition in A/B tests. 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, 25-29 August 2024. New York, United States: Association for Computing Machinery. doi: 10.1145/3637528.3671556