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pro vyhledávání: '"Caplin, Andrew"'
A much studied issue is the extent to which the confidence scores provided by machine learning algorithms are calibrated to ground truth probabilities. Our starting point is that calibration is seemingly incompatible with class weighting, a technique
Externí odkaz:
http://arxiv.org/abs/2205.04613
Publikováno v:
NBER Working Papers; Jun2024, Issue 32508-32589, p1-15, 16p
Publikováno v:
NBER Working Papers; Apr2024, Issue 32282-32376, Preceding p1-46, 47p
Autor:
Ameriks, John, Briggs, Joseph, Caplin, Andrew, Lee, Minjoon, Shapiro, Matthew D., Tonetti, Christopher
Publikováno v:
American Economic Journal: Macroeconomics, 2020 Jan 01. 12(1), 174-209.
Externí odkaz:
https://www.jstor.org/stable/26866613
Autor:
Caplin, Andrew, Leahy, John
Publikováno v:
In Journal of Mathematical Economics October 2020 90:80-94
Publikováno v:
The Review of Economic Studies, 2019 May 01. 863 (308), 1061-1094.
Externí odkaz:
https://www.jstor.org/stable/26755509
Autor:
Caplin, Andrew, Martin, Daniel
Publikováno v:
Revue économique, 2017 Sep 01. 68(5), 747-755.
Externí odkaz:
https://www.jstor.org/stable/90013485
Publikováno v:
NBER Working Papers; Sep2023, Issue 31622-31724, p1-31, 56p
Publikováno v:
Journal of Political Economy. Jun2022, Vol. 130 Issue 6, p1676-1715. 40p. 1 Diagram.
Autor:
Caplin, Andrew, Leahy, John
Publikováno v:
The Economic Journal, 2004 Jul 01. 114(497), 487-505.
Externí odkaz:
https://www.jstor.org/stable/3590292