References

References

[1] C. J. Clopper and E. S. Pearson. The use of confidence or fiducial limits illustrated in the case of the binomial. Biometrika, 26(4):404–413, 1934. doi: 10.1093/biomet/26.4.404. URL https://academic.oup.com/biomet/article-abstract/26/4/404/291538.

[2] Peter Grünwald, Rianne de Heide, and Wouter M. Koolen. Safe testing. Journal of the Royal Statistical Society Series B, 86(5):1091–1128, 2024. doi: 10.1093/jrsssb/qkae011. URL https: //arxiv.org/abs/1906.07801.

[3] Steven R. Howard, Aaditya Ramdas, Jon McAuliffe, and Jasjeet Sekhon. Time-uniform, nonpara-metric, nonasymptotic confidence sequences. Annals of Statistics, 49(2):1055–1080, 2021. doi: 10.1214/20-AOS1991. URL https://arxiv.org/abs/1810.08240.

[4] Emilie Kaufmann, Olivier Cappé, and Aurélien Garivier. On the complexity of best-arm identification in multi-armed bandit models. Journal of Machine Learning Research, 17(1):1–42, 2016. URL https://jmlr.org/papers/v17/kaufman16a.html.

[5] NIST/SEMATECH. e-handbook of statistical methods: Confidence intervals. Section 7.2.4.1, n.d. URL https://www.itl.nist.gov/div898/handbook/prc/section2/prc241.htm.

[6] Jeremy Rodgers. Source–readout non-equivalence: Descent and equivariant reconstruction obstruc-tions, 2026. URL https://doi.org/10.5281/zenodo.21369967.

[7] Ian Waudby-Smith and Aaditya Ramdas. Estimating means of bounded random variables by betting. Journal of the Royal Statistical Society Series B, 86(1):1–27, 2024. doi: 10.1093/jrsssb/qkad009. URL https://arxiv.org/abs/2010.09686.