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Accelerating the Pool-Adjacent-Violators Algorithm for Isotonic Distributional Regression
In the context of estimating stochastically ordered distribution functions, the pool-adjacent-violators algorithm (PAVA) can be modified such that the computation times are reduced substantially. This is achieved by studying the dependence of antitonic weighted least squares fits on the response vec...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer US
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810588/ https://www.ncbi.nlm.nih.gov/pubmed/36619375 http://dx.doi.org/10.1007/s11009-022-09937-2 |