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Discussion of “Prediction, Estimation, and Attribution” by Bradley Efron
Author(s) -
Friedman Jerome,
Hastie Trevor,
Tibshirani Robert
Publication year - 2020
Publication title -
international statistical review
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.051
H-Index - 54
eISSN - 1751-5823
pISSN - 0306-7734
DOI - 10.1111/insr.12414
Subject(s) - attribution , estimation , authorship attribution , econometrics , psychology , computer science , epistemology , sociology , artificial intelligence , data science , social psychology , mathematics , philosophy , economics , management
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.
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