The DOI matches its Crossref record.
On the Development of Reference Priors*
Abstract
The paper begins with a general, though idiosyncratic, discussion of noninformative priors. This provides the background for motivating the recent and ongoing elaborations of the reference prior method for developing noninformative priors, a method initiated in Bernardo (1979). Included in this description of the reference prior method is a new condition that has not previously appeared. Motivation for this new condition is found, in part, in the Fraser, Monette, Ng (1985) example. Extensive discussion of the motivation for reference priors and the specific steps in the algorithm are given, with reference to new examples where appropriate. Also, technical issues in implementing the algorithm are discussed.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
The interplay of Bayesian and frequentist analysis
Bayarri, M. J., & Berger, J. O. (2004) · Statistical Science · doi:10.1214/088342304000000116 · Cited by 525
Self-citationBayesian approach for neural networks—review and case studies
Lampinen, J., & Vehtari, A. (2001) · Neural Networks · doi:10.1016/s0893-6080(00)00098-8 · Cited by 392
Statistical Inference as Severe Testing: How to Get Beyond the Statistics Wars
Mayo, D. G. (2018) · doi:10.1017/9781107286184 · Cited by 376
Metadata
- Authors
- Berger, J. O., & Bernardo, J. M.
- Venue
- Bayesian Statistics 4
- Publisher
- Oxford University PressOxford
- Published
- 1992-08-13
- Pages
- 35-60
- OpenAlex
- W4388289852
- Cited by
- 287
- References
- 0
- FWCI
- 3.07
- Type
- book chapter
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: On the Development of Reference Priors*. https://app.cochat.ai/papers/10.1093/oso/9780198522669.003.0003
- The paper
- Berger, J. O., & Bernardo, J. M. (1992). On the Development of Reference Priors*. Bayesian Statistics 4. https://doi.org/10.1093/oso/9780198522669.003.0003
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
