A Student’s Guide to Bayesian Statistics
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Bayesian methods yield more intuitive uncertainty metrics.
“(c) more intuitive uncertainty metrics”
From Effects of Availability, Contingency, and Formulaicity on the Accuracy of English Grammatical Morphemes in Second Language Writing (2022) · cites this paper as Lambert, 2018
Bayesian methods yield the full posterior distribution that is more informative than point estimates.
“(b) the full posterior distribution that is more informative than point estimates”
From Effects of Availability, Contingency, and Formulaicity on the Accuracy of English Grammatical Morphemes in Second Language Writing (2022) · cites this paper as Lambert, 2018
Bayesian methods yield more reliable parameter estimates in complex statistical models.
“More generally, in comparison to frequentist analyses, Bayesian methods yield (a) more reliable parameter estimates in complex statistical models such as the ones used in our study”
From Effects of Availability, Contingency, and Formulaicity on the Accuracy of English Grammatical Morphemes in Second Language Writing (2022) · cites this paper as Lambert, 2018
Cited by
Sorted by citations
Murakami, A., & Ellis, N. C. (2022) · Language Learning · doi:10.1111/lang.12500 · Cited by 26 · see citing works
- Authors
- Lambert, B.
- Corresponding author
- Lambert, Ben
- Venue
- SAGE Publications Ltd eBooks
- Publisher
- SAGE Publications Ltd
- Published
- 2018
- OpenAlex
- W7125591954
- Cited by
- 8
- References
- 0
- Citations by year
- 2026: 5 · 2024: 1 · 2023: 1 · 2020: 1
- FWCI
- 0.07
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- SAGE Publications Ltd eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Physical Sciences › Mathematics › Statistics and Probability › Statistics Education and Methodologies
- Keywords
- Bayesian analysis, probability, Bayes' theorem, prior and posterior distributions, statistical inference
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
