Discussion of "Prediction, Estimation, and Attribution" by Bradley Efron. (29th December 2020)

• Record Type: Journal Article
• Authors: Friedman, Jerome; Hastie, Trevor; Tibshirani, Robert
• Is Part Of: International statistical review. Volume 88(2020)Supplement 1
• Page Start: S73
• Page End: S74
• Publication Date: 2020-12-29
• Subjects: Statistics -- Periodicals; Statistics -- Bibliography -- Periodicals; Statistics -- Bibliography; Statistics -- Periodicals; Statistique; Statistique -- Périodiques; Statistique -- Bibliographie -- Périodiques; Statistique -- Étude et enseignement -- Périodiques; Statistique -- Étude et enseignement -- Bibliographie -- Périodiques; Ressource Internet (Descripteur de forme); Périodique électronique (Descripteur de forme); 519.2
• DOI: 10.1111/insr.12414
• Languages: English
• ISSNs: 0306-7734

Abstract

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.