A covariance representation and an elementary proof of the Gaussian concentration inequality
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866913539236560896 |
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| author | Houdré, Christian |
| author_facet | Houdré, Christian |
| contents | Via a covariance representation based on characteristic functions, a known elementary proof of the Gaussian concentration inequality is presented. A few other applications are briefly mentioned. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2410_06937 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | A covariance representation and an elementary proof of the Gaussian concentration inequality Houdré, Christian Probability Machine Learning 60E15, 60G15 Via a covariance representation based on characteristic functions, a known elementary proof of the Gaussian concentration inequality is presented. A few other applications are briefly mentioned. |
| title | A covariance representation and an elementary proof of the Gaussian concentration inequality |
| topic | Probability Machine Learning 60E15, 60G15 |
| url | https://arxiv.org/abs/2410.06937 |