Literature DB >> 9705791

The Calibration Issue: Theoretical Comments on Suantak, Bolger, and Ferrell (1996).

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Abstract

In this comment on a recent article in this journal on calibration of subjective probabilities by Suantak, Bolger, and Ferrell (1996) we point to methodological problems with the data presented in the article, with computer simulations we demonstrate that the results claimed by the authors to refute the ecological models (Gigerenzer, Hoffrage, & Kleinbölting, 1991; Juslin, 1994) are actually predicted by them, and we respond to the criticisms of the notion of "ecological cue validity." It is further argued that contrary to the claims by the authors: The decision variable partition model advocated by the authors fails to account for the results reported in the article, but there is one error model-the combined error model (Juslin, Olsson, & Björkman, 1997)-that predicts the observed symmetric hard-easy effect with crossover at proportion correct .75. Finally, an analysis of 44 cognitive and 21 sensory tasks demonstrates that there is a difference in calibration for sensory and cognitive tasks. Copyright 1998 Academic Press.

Year:  1998        PMID: 9705791     DOI: 10.1006/obhd.1998.2749

Source DB:  PubMed          Journal:  Organ Behav Hum Decis Process        ISSN: 0749-5978


  6 in total

1.  Active Learning of Multi-Class Classifiers with Auxiliary Probabilistic Information.

Authors:  Yanbing Xue; Milos Hauskrecht
Journal:  Proc Int Fla AI Res Soc Conf       Date:  2018-05

2.  A quantitative confidence signal detection model: 1. Fitting psychometric functions.

Authors:  Yongwoo Yi; Daniel M Merfeld
Journal:  J Neurophysiol       Date:  2016-01-13       Impact factor: 2.714

3.  A quantitative confidence signal detection model: 2. Confidence analysis.

Authors:  Yongwoo Yi; Wei Wang; Daniel M Merfeld
Journal:  J Neurophysiol       Date:  2019-06-19       Impact factor: 2.714

4.  Efficient Learning of Classification Models from Soft-label Information by Binning and Ranking.

Authors:  Yanbing Xue; Milos Hauskrecht
Journal:  Proc Int Fla AI Res Soc Conf       Date:  2017-05

5.  Active Learning of Classification Models with Likert-Scale Feedback.

Authors:  Yanbing Xue; Milos Hauskrecht
Journal:  Proc SIAM Int Conf Data Min       Date:  2017

6.  Active Learning of Multi-class Classification Models from Ordered Class Sets.

Authors:  Yanbing Xue; Milos Hauskrecht
Journal:  Proc Conf AAAI Artif Intell       Date:  2019-07-17
  6 in total

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