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Stable reliability diagrams for probabilistic classifiers
7 references·2 citing·30 second hop
Stable reliability diagrams for probabilistic classifiers (2021)Stable reliability diagrams for probabili…Veridical data science (2020)Veridical data scienceEnhancing reproducibility for computational methods (2016)Enhancing reproducibility for…A discussion on: Of Quantiles and Expectiles: Consistent Scoring Functions, Choquet Representations, and Forecast Ranking, by W. Ehm, T. Gneiting, A. Jordan, and A. Krueger (2016)A discussion on: Of Quantiles…Combining predictive distributions (2013)Combining predictive distribu…Reliability, sufficiency, and the decomposition of proper scores (2009)Reliability, sufficiency, and…Strictly Proper Scoring Rules, Prediction, and Estimation (2007)Strictly Proper Scoring Rules…A New Vector Partition of the Probability Score (1973)A New Vector Partition of the…Regression diagnostics meets forecast evaluation: conditional calibration, reliability diagrams, and coefficient of determination (2023)Regression diagnostics meets …On (assessing) the fairness of risk score models (2023)On (assessing) the fairness o…Elicitation of Personal Probabilities and Expectations (1971)Comparing Predictive Accuracy (1994)Making and Evaluating Point Forecasts (2011)Generación de series de tiempo financieras sintéticas para "data augmentation" usando redes neuronales generativas adversarias (GAN) (2021)Generalized autoregressive conditional heteroskedasticity (1986)Probabilistic Forecasts, Calibration and Sharpness (2007)Forecaster’s Dilemma: Extreme Events and Forecast Evaluation (2017)A review of predictive uncertainty estimation with machine learning (2024)Rational Decisions (1952)The role of the information set for forecasting—with applications to risk management (2014)Forecast Verification (2019)Promoting an open research culture (2015)Researching Mental Health Disorders in the Era of Social Media: Systematic Review (2017)The future of scientific workflows (2017)FAIR Computational Workflows (2019)Comparing Predictive Accuracy (1995)Estimation of Tail Risk Based on Extreme Expectiles (2017)Forecast combinations for value at risk and expected shortfall (2019)A Stochastic Approximation Method (1951)A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Why Most Published Research Findings Are False (2005)Improving reproducibility by using high-throughput observational studies with empirical calibration (2018)Assessment of Adherence to Reporting Guidelines by Commonly Used Clinical Prediction Models From a Single Vendor (2022)Another look at measures of forecast accuracy (2006)The size and burden of mental disorders and other disorders of the brain in Europe 2010 (2011)Fair Prediction with Disparate Impact: A Study of Bias in Recidivism Prediction Instruments (2017)Dissecting racial bias in an algorithm used to manage the health of populations (2019)Norm theory: Comparing reality to its alternatives. (1986)Ambiguity and self-evaluation: The role of idiosyncratic trait definitions in self-serving assessments of ability. (1989)Forecast Verification (2011)
this work references cited by second hop

References

  • 2007Strictly Proper Scoring Rules, Prediction, and Estimation5,771 cited
  • 1973A New Vector Partition of the Probability Score1,120 cited
  • 2016Enhancing reproducibility for computational methods413 cited
  • 2013Combining predictive distributions216 cited
  • 2016A discussion on: Of Quantiles and Expectiles: Consistent Scoring Functions, Choquet Representations, and Forecast Ranking, by W. Ehm, T. Gneiting, A. Jordan, and A. Krueger171 cited
  • 2020Veridical data science167 cited
  • 2009Reliability, sufficiency, and the decomposition of proper scores120 cited

Cited by

  • 2023Regression diagnostics meets forecast evaluation: conditional calibration, reliability diagrams, and coefficient of determination57 cited
  • 2023On (assessing) the fairness of risk score models17 cited

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