Beneventano, P., Berger, P. D., & Weinberg, B. D. (2012). Predicting run production and run prevention in baseball: the impact of sabermetrics. Int J Bus Humanit Technol, 2(4), 67–75.
Perseus Books Group. Costa, G. B., Huber, M. R., & Saccoman, J. T. (2012). Reasoning with sabermetrics: Applying statistical science to baseball’s tough questions.
Forrest, D., Beaumont, J., Goddard, J., & Simmons, R. (2005). Home advantage and the debate about competitive balance in professional sports leagues. Journal of Sports Sciences, 23(4), 439–445.
Fujii, K., Takeuchi, K., Kuribayashi, A., Takeishi, N., Kawahara, Y., & Takeda, K. (2022). Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios. arXiv preprint arXiv:2206.01900.
Hirotsu, N., & Bickel, J. E. (2019). Using a markov decision process to model the value of the sacrifice bunt. Journal of Quantitative Analysis in Sports, 15(4), 327–344.
Hirotsu, N., & Eric Bickel, J. (2016). Optimal batting orders in run-limit-rule baseball: a markov chain approach. IMA Journal of Management Mathematics, 27(2), 297–313.
Hirotsu, N., & Wright, M. (2003). A markov chain approach to optimal pinch hitting strategies in a designated hitter rule baseball game. Journal of the Operations Research Society of Japan, 46(3), 353–371.
Hirotsu, N., & Wright, M. (2005). Modelling a baseball game to optimise pitcher substitution strategies incorporating handedness of players. IMA Journal of Management Mathematics, 16(2), 179–194.
Nakahara, H., Takeda, K., & Fujii, K. (2022a). Evaluating a third base coach’s decision making via game theory and machine learning. MathSport International.
Nakahara, H., Takeda, K., & Fujii, K. (2022b). Pitching strategy evaluation via stratified analysis using propensity score. arXiv preprint arXiv:2208.03492.
Sonne, M. W., & Keir, P. J. (2016). Major league baseball pace-of-play rules and their influence on predicted muscle fatigue during simulated baseball games. Journal of sports sciences, 34(21), 2054–2062.
Stuart, E. A. (2010). Matching methods for causal inference: A review and a look forward. Statistical science: a review journal of the Institute of Mathematical Statistics, 25(1), 1.
Toumi, A., & Lopez, M. (2019). From grapes and prunes to apples and apples: Using matched methods to estimate optimal zone entry decision-making in the national hockey league. In Carnegie mellon sports analytics conference 2019.
Vock, D. M., & Vock, L. F. B. (2018). Estimating the eff ect of plate discipline usinga causal inference framework: an application of the g-computation algorithm. Journal of Quantitative Analysis in Sports, 14(2), 37–56.
Yam, D. R., & Lopez, M. J. (2019). What was lost? a causal estimate of fourth down behavior in the national football league. Journal of Sports Analytics, 5(3), 153–167.