Dae Woong Ham, Iavor Bojinov, Michael Lindon, and Martin Tingley. Design-based confidence sequences for anytime-valid causal inference. arXiv:2210.08639, 2022.
Christopher Harshaw, Joel A. Middleton, and Fredrik Sävje. Optimized variance estimation under interference and complex experimental designs. arXiv:2112.01709, 2021.
Christopher Harshaw, Fredrik Sävje, and Yitan Wang. A design-based riesz representation framework for randomized experiments. arXiv:2210.08698, 2022.
Lakhbir S. Hayre and Bruce W. Turnbull. Estimation of the odds ratio in the two-armed bandit problem. Biometrika, 68(3):661-668, 1981.
Elad Hazan. Introduction to online convex optimization. Foundations and Trends® in Optimization, 2(3-4):157-325, 2016. ISSN 2167-3888.
D. G. Horvitz and D. J. Thompson. A generalization of sampling without replacement from a finite universe. Journal of the American Statistical Association, 47(260):663-685, 1952. doi: 10.1080/01621459.1952.10483446.
Steven R. Howard, Aaditya Ramdas, Jon McAuliffe, and Jasjeet Sekhon. Time-uniform, nonparametric, nonasymptotic confidence sequences. The Annals of Statistics, 49(2):1055 - 1080, 2021.
Feifang Hu and William F. Rosenberger. Optimality, variability, power: Evaluating response-adaptive randomization procedures for treatment comparisons. Journal of the American Statistical Association, 98(463):671-678, 2003.
Guido W Imbens and Donald B Rubin. Causal inference in statistics, social, and biomedical sciences. Cambridge University Press, 2015.
Tor Lattimore and Csaba Szepesvári. Bandit Algorithms. Cambridge University Press, 2020.
Michael P. Leung. Causal inference under approximate neighborhood interference. *Econometrica*, 90(1):267-293, 2022.
Winston Lin. Agnostic notes on regression adjustments to experimental data: Reexamining Freedman's critique. Annals of Applied Statistics, 7(1):295-318, 2013.
R. Narain. On sampling without replacement with varying probabilities. Journal of the Indian Society of Agricultural Statistics, 3:169-175, 1951.
Jerzy Neyman. On the application of probability theory to agricultural experiments. Essay on principles. Section 9. Statistical Science, 5(4):465-472, 1923. Reprinted in 1990.
Jerzy Neyman. On the two different aspects of the representative method: The method of stratified sampling and the method of purposive selection. Journal of the Royal Statistical Society, 97(4): 558-625, 1934. ISSN 09528385.
Molly Offer-Westort, Alexander Coppock, and Donald P. Green. Adaptive experimental design: Prospects and applications in political science. American Journal of Political Science, 65(4): 826-844, 2021.
Herbert Robbins. Some aspects of the sequential design of experiments. Bulletin of the American Mathematical Society, 58(5):527 - 535, 1952.
W Rosenberger, N Stallard, Anastasia Ivanova, C Harper, and M Ricks. Optimal adaptive designs for binary response trials. Biometrics, 57:909-13, 10 2001.
Donald B. Rubin. Comment: Randomization analysis of experimental data. Journal of the American Statistical Association, 75(371):591, 1980.
Fredrik Sävje, P. M. Aronow, and Michael G. Hudgens. Average treatment effects in the presence of unknown interference. Annals of Statistics, 49(2):673-701, 2021.