Bayes and empirical Bayes: do they merge?
- Submitting institution
-
University of Oxford
- Unit of assessment
- 10 - Mathematical Sciences
- Output identifier
- 12400
- Type
- D - Journal article
- DOI
-
10.1093/biomet/ast067
- Title of journal
- BIOMETRIKA
- Article number
- -
- First page
- 285
- Volume
- 101
- Issue
- 2
- ISSN
- 0006-3444
- Open access status
- Out of scope for open access requirements
- Month of publication
- April
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/biomet/101/2/10.1093/biomet/ast067/2/ast067supp.pdf?Expires=1613737675&Signature=awbtTNIFfEdbysfEFDu3i9CTb7ixkw~~E7IGP6tStUscTamdiQWbkQNvhm0UsmEEBmNW4vtFHxVvcaWIezm8wj~0mg8JRDlgm2Ma-h4z0cDzQat2d2hiqmUCHhFI4s-FxFEt-Z2tksSSNJGphgGlQOxIxTMXCWLoarD2dHTNLDMfnznhZgsVGPdHf9mAaiZpMBa7IG7QFjjOQsC98MKY~kN9eRL~Ipxli59y4fZIG7fthzOsnDmIwr-XNW-fETWgrdDdrGQdxKziS5YWoqcwiY859xrIV~2rQlEy5xxJiDYuwsJB9hhQw1sfbgpBg1QJwjZ6qMYU9li3oA0UJEZSxQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
R - Computational statistics and machine learning (CSML)
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
