Discussion of "Prediction, Estimation, and Attribution" by Bradley Efron
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 bo...
Gespeichert in:
Veröffentlicht in: | Journal of the American Statistical Association 2020-04, Vol.115 (530), p.665-666 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
ISSN: | 0162-1459 1537-274X |
DOI: | 10.1080/01621459.2020.1762617 |