Journal of Data Science

Chen MH, Guan Z, Lin M, Sun M (2025). Power priors for leveraging historical data: Looking back and looking forward. Journal of Data Science., 23(1): 1–30. https://doi.org/10.6339/24-JDS1161

Chen Y, Gong R, Mg X (2020). Geometric conditions for the discrepant posterior phenomenon and connections to Simpson’s paradox. arXiv preprint: https://arxiv.org/abs/2001.08336

Efron B (1986). Why isn’t everyone a Bayesian? American Statistician, 40(1): 1–5. https://doi.org/10.1080/00031305.1986.10475342

Parmar MK, Spiegelhalter DJ, Freedman LS (Chart Steering Committee) (1994). The CHART trials: Bayesian design and monitoring in practice. Statistics in Medicine, 13(13–14): 1297–1312. https://doi.org/10.1002/sim.4780131304

Robert CP (2013). Discussion on “Confidence distribution, the frequentist distribution estimator of a parameter” by Xie and Singh. International Statistical Review, 81(1): 52–56. https://doi.org/10.1111/insr.12003

Spiegelhalter DJ, Freedman LS, Parmar MK (1994). Bayesian approaches to randomized trials. Journal of the Royal Statistical Society. Series A. Statistics in Society, 157(3): 357–387. https://doi.org/10.2307/2983527

Wasserman L (2008). Why isn’t everyone a Bayesian? In: The Science of Bradley Efron, 260–267. Springer.

Xie M (2013). Rejoinder to discussions of “Confidence distribution, the frequentist distribution estimator of a parameter: A review”. International Statistical Review, 81(1): 68–77. https://doi.org/10.1111/insr.12001

Xie M, Liu RY, Damaraju CV, Olson WH (2013). Incorporating external information in analyses of clinical trials with binary outcomes. Annals of Applied Statistics, 7(1): 342–368. https://doi.org/10.1214/12-AOAS585

Xie M, Singh K (2013). Confidence distribution, the frequentist distribution estimator of a parameter: A review. International Statistical Review, 81(1): 3–39. https://doi.org/10.1111/insr.12000