Reformulating Confidence as Extended Likelihood
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| Soggetti: | |
| Accesso online: | |
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| _version_ | 1866915701139177472 |
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| author | Lee, Youngjo |
| author_facet | Lee, Youngjo |
| contents | Fisher's fiducial probability has recently received renewed attention under the name confidence. In this paper, we reformulate it within an extended-likelihood framework, a representation that helps to resolve many long-standing controversies. The proposed formulation accommodates multi-dimensional parameters and shows how higher-order approximations can be used to refine standard asymptotic confidence statements. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2512_24701 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Reformulating Confidence as Extended Likelihood Lee, Youngjo Statistics Theory Fisher's fiducial probability has recently received renewed attention under the name confidence. In this paper, we reformulate it within an extended-likelihood framework, a representation that helps to resolve many long-standing controversies. The proposed formulation accommodates multi-dimensional parameters and shows how higher-order approximations can be used to refine standard asymptotic confidence statements. |
| title | Reformulating Confidence as Extended Likelihood |
| topic | Statistics Theory |
| url | https://arxiv.org/abs/2512.24701 |