Recalibrating probabilistic forecasts to improve their accuracy

The accuracy of human forecasters is often reduced because of incomplete information and cognitive biases that affect the judges. One approach to improve the accuracy of the forecasts is to recalibrate them by means of non-linear transformations that are sensitive to the direction and the magnitude...

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Bibliographic Details
Main Authors: Ying Han, David V. Budescu
Format: Article
Language:English
Published: Cambridge University Press 2022-01-01
Series:Judgment and Decision Making
Subjects:
Online Access:http://journal.sjdm.org/21/210914/jdm210914.pdf