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An Objective Prior from a Scoring Rule [PDF]
Entropy, 2021 In this paper, we introduce a novel objective prior distribution levering on the connections between information, divergence and scoring rules. In particular, we do so from the starting point of convex functions representing information in density ...
Stephen G. Walker, Cristiano Villa
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Relating the Ramsay Quotient Model to the Classical D-Scoring Rule
Analytics, 2023 In a series of papers, Dimitrov suggested the classical D-scoring rule for scoring items that give difficult items a higher weight while easier items receive a lower weight.
Alexander Robitzsch
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A Scoring Rule-based Truthful Demand Response Mechanism [PDF]
International Journal of Networked and Distributed Computing (IJNDC), 2016 Demand Response (DR) has been extensively studied as one of the important features of smart grid. The DR strategies can be grouped into two categories, one is incentive-based DR and the other is pricing-based DR.
Keisuke Hara, Takayuki Ito
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Games, 2021 Weighted committees allow shareholders, party leaders, etc. to wield different numbers of votes or voting weights as they decide between multiple candidates by a given social choice method.
Alexander Mayer, Stefan Napel
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Demonstrating the value of larger ensembles in forecasting physical systems
Tellus: Series A, Dynamic Meteorology and Oceanography, 2016 Ensemble simulation propagates a collection of initial states forward in time in a Monte Carlo fashion. Depending on the fidelity of the model and the properties of the initial ensemble, the goal of ensemble simulation can range from merely quantifying ...
Reason L. Machete, Leonard A. Smith
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Justifying Objective Bayesianism on Predicate Languages
Entropy, 2015 Objective Bayesianism says that the strengths of one’s beliefs ought to be probabilities, calibrated to physical probabilities insofar as one has evidence of them, and otherwise sufficiently equivocal. These norms of belief are often explicated using the
Jürgen Landes, Jon Williamson
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Entropy, 2015 A scoring rule is a device for evaluation of forecasts that are given in terms of the probability of an event. In this article we will restrict our attention to binary forecasts.
Gareth Hughes, Cairistiona F.E. Topp
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Divergence and Sufficiency for Convex Optimization
Entropy, 2017 Logarithmic score and information divergence appear in information theory, statistics, statistical mechanics, and portfolio theory. We demonstrate that all these topics involve some kind of optimization that leads directly to regret functions and such ...
Peter Harremoës
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Objective Bayesianism and the Maximum Entropy Principle
Entropy, 2013 Objective Bayesian epistemology invokes three norms: the strengths of our beliefs should be probabilities; they should be calibrated to our evidence of physical probabilities; and they should otherwise equivocate sufficiently between the basic ...
Jon Williamson, Jürgen Landes
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International Journal of Financial Studies, 2014 Clock rule changes were introduced in the 2006 season with the goal of reducing the average duration of the game; these changes were reversed in 2007.
Kenneth Linna +3 more
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