The DOI matches its OpenAlex record; 9 of the 9 references it cites were found in a registry or an index.
Axiomatic Characterization of the Quadratic Scoring Rule
Abstract
Abstract In the evaluation of experiments often the problem arises of how to compare the predictive success of competing probabilistic theories. The quadratic scoring rule can be used for this purpose. Originally, this rule was proposed as an incentive compatible elicitation method for probabilistic expert judgments. It is shown that up to a positive linear transformation, the quadratic scoring rule is characterized by four desirable properties.
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Cites
Investigating Generalizations of Expected Utility Theory Using Experimental Data
Hey, J. D., & Orme, C. (1994) · Econometrica · doi:10.2307/2951750 · Cited by 1,098
Scoring Rules for Continuous Probability Distributions
Matheson, J. E., & Winkler, R. L. (1976) · Management Science · doi:10.1287/mnsc.22.10.1087 · Cited by 957
Scoring Rules and the Evaluation of Probability Assessors
Winkler, R. L. (1969) · Journal of the American Statistical Association · doi:10.1080/01621459.1969.10501037 · Cited by 271
Scoring rules in probability assessment and evaluation
Murphy, A. H., & Winkler, R. L. (1970) · Acta Psychologica · doi:10.1016/0001-6918(70)90023-5 · Cited by 154
Measurement of subjective probability
von Holstein, C.-A. S. S. (1970) · Acta Psychologica · doi:10.1016/0001-6918(70)90013-2 · Cited by 69
Effective Scoring Rules for Probabilistic Forecasts
Friedman, D. (1983) · Management Science · doi:10.1287/mnsc.29.4.447 · Cited by 65
BELIEF STATES: A PRELIMINARY EMPIRICAL STUDY
Roby, T. B. (1964) · doi:10.21236/ad0600441 · Cited by 15
Verification of forecasts expressed in terms of probability
BRIER, G. W. (1950) · Monthly Weather Review · doi:10.1175/1520-0493(1950)078%3c0001:vofeit%3e2.0.co;2
VERIFICATION OF FORECASTS EXPRESSED IN TERMS OF PROBABILITY
BRIER, G. W. (1950) · Monthly Weather Review · doi:10.1175/1520-0493(1950)078<0001:vofeit>2.0.co;2
Cited by
Strictly Proper Scoring Rules, Prediction, and Estimation
Gneiting, T., & Raftery, A. E. (2007) · Journal of the American Statistical Association · doi:10.1198/016214506000001437 · Cited by 5,793
The trouble with overconfidence.
Moore, D. A., & Healy, P. J. (2008) · Psychological Review · doi:10.1037/0033-295x.115.2.502 · Cited by 2,358
Probabilistic Forecasts, Calibration and Sharpness
Gneiting, T., Balabdaoui, F., & Raftery, A. E. (2007) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.1467-9868.2007.00587.x · Cited by 1,783
The Good News-Bad News Effect: Asymmetric Processing of Objective Information about Yourself
Eil, D., & Rao, J. M. (2011) · American Economic Journal: Microeconomics · doi:10.1257/mic.3.2.114 · Cited by 657
Comparing Density Forecasts Using Threshold- and Quantile-Weighted Scoring Rules
Gneiting, T., & Ranjan, R. (2011) · Journal of Business & Economic Statistics · doi:10.1198/jbes.2010.08110 · Cited by 507
Metadata
- Authors
- Selten, R.
- Venue
- Experimental Economics
- Publisher
- Springer Science+Business Media
- Published
- 1998-06-01
- Volume
- 1
- Issue
- 1
- Pages
- 43-62
- ISSN
- 1386-4157 (ISSN-L)
- OpenAlex
- W1999617766
- Cited by
- 337
- References
- 9
- FWCI
- 11.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Selten, R. (1998). Axiomatic Characterization of the Quadratic Scoring Rule. Experimental Economics. https://doi.org/10.1007/bf01426214
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
