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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...
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| 出版年: | Entropy (Basel) |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514464/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e21111120 |
| タグ: |
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