Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron
本文讨论了Efron教授关于数据科学时代预测、估计与归因关系的论文，认为新旧方法之间存在连续性，且可通过协同作用共同改进。
Summary Professor Efron has presented us with a thought‐provoking paper on the relationship between prediction, estimation, and attribution in the modern era of data science. While we appreciate many of his arguments, we see more of a continuum between the old and new methodology, and the opportunity for both to improve through their synergy.