The DOI matches its Crossref record.
Statistics: A Bayesian Perspective
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
Using Bayes to get the most out of non-significant results
Dienes, Z. (2014) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.00781 · Cited by 1,998
Statistical strategies for avoiding false discoveries in metabolomics and related experiments
Broadhurst, D. I., & Kell, D. B. (2007) · Metabolomics · doi:10.1007/s11306-006-0037-z · Cited by 817
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
Barry, J. (2011) · Europe’s Journal of Psychology · doi:10.5964/ejop.v7i4.163 · Cited by 563
Bayes’ Theorem and Naive Bayes Classifier
Berrar, D. (2019) · Encyclopedia of Bioinformatics and Computational Biology · doi:10.1016/b978-0-12-809633-8.20473-1 · Cited by 394
A Bayesian operationalization of the resource‐based view
Hansen, M. H., Perry, L. T., & Reese, C. S. (2004) · Strategic Management Journal · doi:10.1002/smj.432 · Cited by 272
Metadata
- Authors
- Smith, P. J., & Berry, D. A.
- Venue
- The American Statistician
- Publisher
- JSTOR
- Published
- 1997-08
- Volume
- 51
- Issue
- 3
- Pages
- 293
- ISSN
- 0003-1305 (ISSN-L)
- OpenAlex
- W4229491312
- Cited by
- 244
- References
- 0
- FWCI
- 9.83
- Type
- journal article
- 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: Statistics: A Bayesian Perspective. https://app.cochat.ai/papers/10.2307/2684909
- The paper
- Smith, P. J., & Berry, D. A. (1997). Statistics: A Bayesian Perspective. The American Statistician. https://doi.org/10.2307/2684909
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.
