Cargando…
Far from Asymptopia: Unbiased High-Dimensional Inference Cannot Assume Unlimited Data
Inference from limited data requires a notion of measure on parameter space, which is most explicit in the Bayesian framework as a prior distribution. Jeffreys prior is the best-known uninformative choice, the invariant volume element from information geometry, but we demonstrate here that this lead...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10048238/ https://www.ncbi.nlm.nih.gov/pubmed/36981323 http://dx.doi.org/10.3390/e25030434 |