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Lossless Transformations and Excess Risk Bounds in Statistical Inference
We study the excess minimum risk in statistical inference, defined as the difference between the minimum expected loss when estimating a random variable from an observed feature vector and the minimum expected loss when estimating the same random variable from a transformation (statistic) of the fea...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10606681/ https://www.ncbi.nlm.nih.gov/pubmed/37895515 http://dx.doi.org/10.3390/e25101394 |