Results 1 to 10 of about 16,623 (95)

Tailored proper scoring rules elicit decision weights [PDF]

Judgment and Decision Making, 2015
Proper scoring rules are scoring methods that incentivize honest reporting of subjective probabilities, where an agent strictly maximizes his expected score by reporting his true belief.
Arthur Carvalho
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What if the Forecaster Knew: Assessing Forecast Reliability Via Simulation

Trends in Computational and Applied Mathematics, 2022
The FIFA Men’s World Cup (FWC) is the most important football (soccer) competition, attracting worldwide attention. A popular practice among football fans in Brazil is to organize contests in which each participant informs guesses on the final score of ...
M. Inacio, R. Izbicki, D. Lopes, M. A. Diniz, L. E. Salasar, J. C. P. Ferreira   +5 more
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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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Methodological concerns about “concordance-statistic for benefit” as a measure of discrimination in predicting treatment benefit

Diagnostic and Prognostic Research, 2023
Prediction algorithms that quantify the expected benefit of a given treatment conditional on patient characteristics can critically inform medical decisions.
Yuan Xia, Paul Gustafson, Mohsen Sadatsafavi   +2 more
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The validation and assessment of machine learning: a game of prediction from high-dimensional data. [PDF]

PLoS ONE, 2009
In applied statistics, tools from machine learning are popular for analyzing complex and high-dimensional data. However, few theoretical results are available that could guide to the appropriate machine learning tool in a new application.
Tune H Pers, Anders Albrechtsen, Claus Holst, Thorkild I A Sørensen, Thomas A Gerds   +4 more
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A Framework for the Cross‐Validation of Categorical Geostatistical Simulations

Earth and Space Science, 2020
The mapping of subsurface parameters and the quantification of spatial uncertainty requires selecting adequate models and their parameters. Cross‐validation techniques have been widely used for geostatistical model selection for continuous variables, but
Przemysław Juda, Philippe Renard, Julien Straubhaar   +2 more
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A relationship between the incremental values of area under the ROC curve and of area under the precision-recall curve

Diagnostic and Prognostic Research, 2021
Background Incremental value (IncV) evaluates the performance change between an existing risk model and a new model. Different IncV metrics do not always agree with each other. For example, compared with a prescribed-dose model, an ovarian-dose model for
Qian M. Zhou, Lu Zhe, Russell J. Brooke, Melissa M. Hudson, Yan Yuan   +4 more
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REM sleep behavior disorder: update on diagnosis and management

Arquivos de Neuro-Psiquiatria, 2023
REM sleep behavior disorder (RBD) is characterized by a loss of atonia of skeletal muscles during REM sleep, associated with acting out behaviors during dreams. Knowledge of this pathology is important to predict neurodegenerative diseases since there is
Manoel Alves Sobreira-Neto, Fernando Gustavo Stelzer, Lívia Leite Góes Gitaí, Rosana Cardoso Alves, Alan Luiz Eckeli, Carlos H. Schenck   +5 more
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Effectiveness of Protective Measures and Rules in Reducing the Incidence of Injuries in Combat Sports: A Scoping Review

Journal of Functional Morphology and Kinesiology, 2023
In recent years, much effort has been made to reduce the injury rate in combat sports. However, the question remains to what extent these measures are effective.
Rastislav Štyriak, Radovan Hadža, Rafael Arriaza, Dušana Augustovičová, Erika Zemková   +4 more
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Scoring and ranking probabilistic seismic hazard models: an application based on macroseismic intensity data [PDF]

Natural Hazards and Earth System Sciences
A probabilistic seismic hazard model consists of a set of weighted models/branches that describes the center, the body and the range of seismic hazard. Owing to the intrinsic nature of this kind of analysis, the weight of each model/branch represents its
V. D'Amico, F. Visini, A. Rovida, W. Marzocchi, C. Meletti   +4 more
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