Sculpting priors
Fuente:
arXiv
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| Format: | Preprint |
| Veröffentlicht: |
2024
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| _version_ | 1866910560500580352 |
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| author | Theiler, James |
| author_facet | Theiler, James |
| contents | Bayesian priors are investigated for detecting targets of known spectral signature (but unknown strength) in cluttered backgrounds. A specific problem is the construction (or ``sculpting'') of a Bayesian prior that uniformly outperforms its non-Bayesian counterpart, the nominally sub-optimal but widely used Generalized Likelihood Ratio Test (GLRT). |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_04572 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Sculpting priors Theiler, James Signal Processing Statistics Theory 62C10 G.3 Bayesian priors are investigated for detecting targets of known spectral signature (but unknown strength) in cluttered backgrounds. A specific problem is the construction (or ``sculpting'') of a Bayesian prior that uniformly outperforms its non-Bayesian counterpart, the nominally sub-optimal but widely used Generalized Likelihood Ratio Test (GLRT). |
| title | Sculpting priors |
| topic | Signal Processing Statistics Theory 62C10 G.3 |
| url | https://arxiv.org/abs/2408.04572 |