Universal Sample Size Invariant Measures for Uncertainty Quantification in Density Estimation

Universal Sample Size Invariant Measures for Uncertainty Quantification in Density Estimation

Previously, we developed a high throughput non-parametric maximum entropy method (PLOS ONE, 13(5): e0196937, 2018) that employs a log-likelihood scoring function to characterize uncertainty in trial probability density estimates through a scaled quantile residual (SQR). The SQR for the true probabil...

Полное описание

Библиографические подробности
Главные авторы:	Jenny Farmer, Zach Merino, Alexander Gray, Donald Jacobs
Формат:	Статья
Язык:	English
Опубликовано:	MDPI AG 2019-11-01
Серии:	Entropy
Предметы:	density estimation distribution free non-parametric statistical test decoy distributions size invariance scaled quantile residual maximum entropy method scoring function outlier detection overfitting detection
Online-ссылка:	https://www.mdpi.com/1099-4300/21/11/1120

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