DOIAbstract
We give a new example for a proper scoring rule motivated by the form of Anderson-Darling distance of distribution functions and an example of Brehmer and Gneiting
We give a new example for a proper scoring rule motivated by the form of Anderson-Darling distance of distribution functions and an example of Brehmer and Gneiting
<p> Probability forecasts play an important role in many decision and risk analysis applications. Re...
We investigate proper scoring rules for continuous distributions on the real line. It is known that ...
This is the author accepted manuscript. The final version is available from Wiley via the DOI in thi...
We give a new example for a proper scoring rule motivated by the form of Anderson-Darling distance o...
Ascoring rule S(x; q) provides away of judging the quality of a quoted probability density q for a r...
Scoring rules measure the deviation between a probabilistic forecast and reality. Strictly proper sc...
This note gives an easily verified necessary and sufficient condition for one probability forecaster...
Scoring rules measure the deviation between a forecast, which assigns degrees of confidence to vario...
Most of the methods nowadays employed in forecast problems are based on scoring rules. There is a di...
Proper and strictly proper scoring rules provide a rigorous method for evaluating the accuracy of a ...
Strictly proper scoring rules, including the Brier score and the logarithmic score, are standard met...
The evaluation of probabilistic forecasts plays a central role both in the interpretation and in the...
There are several scoring rules that one can choose from in order to score probabilistic forecasting...
Scoring rules promote rational and good decision making and predictions by models, this is increasin...
Proper scoring rules are devices for encouraging honest assessment of probability distributions. Jus...
<p> Probability forecasts play an important role in many decision and risk analysis applications. Re...
We investigate proper scoring rules for continuous distributions on the real line. It is known that ...
This is the author accepted manuscript. The final version is available from Wiley via the DOI in thi...
We give a new example for a proper scoring rule motivated by the form of Anderson-Darling distance o...
Ascoring rule S(x; q) provides away of judging the quality of a quoted probability density q for a r...
Scoring rules measure the deviation between a probabilistic forecast and reality. Strictly proper sc...
This note gives an easily verified necessary and sufficient condition for one probability forecaster...
Scoring rules measure the deviation between a forecast, which assigns degrees of confidence to vario...
Most of the methods nowadays employed in forecast problems are based on scoring rules. There is a di...
Proper and strictly proper scoring rules provide a rigorous method for evaluating the accuracy of a ...
Strictly proper scoring rules, including the Brier score and the logarithmic score, are standard met...
The evaluation of probabilistic forecasts plays a central role both in the interpretation and in the...
There are several scoring rules that one can choose from in order to score probabilistic forecasting...
Scoring rules promote rational and good decision making and predictions by models, this is increasin...
Proper scoring rules are devices for encouraging honest assessment of probability distributions. Jus...
<p> Probability forecasts play an important role in many decision and risk analysis applications. Re...
We investigate proper scoring rules for continuous distributions on the real line. It is known that ...
This is the author accepted manuscript. The final version is available from Wiley via the DOI in thi...
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