Results 11 to 20 of about 1,501,990 (289)
Contrasting probabilistic scoring rules [PDF]
Journal of Statistical Planning and Inference, 2013 There are several scoring rules that one can choose from in order to score probabilistic forecasting models or estimate model parameters. Whilst it is generally agreed that proper scoring rules are preferable, there is no clear criterion for preferring one proper scoring rule above another.
Machete, Reason, Machete, Reason L.
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Maskin-monotonic scoring rules [PDF]
Social Choice and Welfare, 2014 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Battal Dogan, Semih Koray
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Scoring rules for judgment aggregation [PDF]
Social Choice and Welfare, 2013 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Dietrich, Franz, Franz Dietrich
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Proceedings of the AAAI Conference on Artificial Intelligence, 2017 Proper scoring rules can be used to incentivize a forecaster to truthfully report her private beliefs about the probabilities of future events and to evaluate the relative accuracy of forecasters. While standard scoring rules can score forecasts only once the associated events have been resolved, many applications would benefit from ...
Jens Witkowski +3 more
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Proceedings of the 23rd ACM Conference on Economics and Computation, 2022 We characterize the optimal reward functions (scoring rules) that incentivize an agent to acquire information and report it truthfully to the principal. The optimal scoring rules let the agent make a simple binary bet in single-dimensional problems, and choose the dimension with the most surprising signal to be scored on in symmetric multi-dimensional ...
Yingkai Li +3 more
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Proceedings of the 21st ACM Conference on Economics and Computation, 2020 Strictly proper scoring rules (SPSR) are incentive compatible for eliciting information about random variables from strategic agents when the principal can reward agents after the realization of the random variables. They also quantify the quality of elicited information, with more accurate predictions receiving higher scores in ...
Yang Liu 0018 +2 more
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Local scale invariance and robustness of proper scoring rules
, 2023 Averages of proper scoring rules are often used to rank probabilistic forecasts. In many cases, the individual terms in these averages are based on observations and forecasts from different distributions.
Bolin, David +4 more
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Minimum Scoring Rule Inference [PDF]
Scandinavian Journal of Statistics, 2015 AbstractProper scoring rules are devices for encouraging honest assessment of probability distributions. Just like logâlikelihood, which is a special case, a proper scoring rule can be applied to supply an unbiased estimating equation for any statistical model, and the theory of such equations can be applied to understand the properties of the ...
Dawid, A. Philip +2 more
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Scoring rules for judgment aggregation [PDF]
, 2011 This paper studies a class of judgment aggregation rules, to be called 'scoring rules' after their famous counterpart in preference aggregation theory.
Dietrich, Franz
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