From Laplace to Supernova SN 1987A: Bayesian Inference in Astrophysics
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Cites
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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?
Prior and posterior are not temporal notions-they are logical notions.
“The key to unraveling the false dichotomies lies in understanding that prior and posterior are not temporal notions-they are logical notions.”
From A Dialogue with the Data: The Bayesian Foundations of Iterative Research in Qualitative Social Science (2019) · cites this paper as Loredo 1990
Cites
Information theory and statistical mechanics
Jaynes, E. T. (1957) · Physical Review · doi:10.1103/physrev.106.620 · Cited by 12,931 · see citing works
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Information-based objective functions for active data selection
MacKay, D. J. C. (1992) · Neural Computation · doi:10.1162/neco.1992.4.4.590 · Cited by 1,221 · see citing works
Mackay, D. J. C. (1995) · Network Computation in Neural Systems · doi:10.1088/0954-898x/6/3/011 · Cited by 915 · see citing works
Fairfield, T., & Charman, A. (2019) · Perspectives on Politics · doi:10.1017/s1537592718002177 · Cited by 79 · see citing works
- Authors
- Loredo, T. J.
- Affiliations
- University of Chicago (US)
- Corresponding author
- Loredo, T. J.
- ORCID
- Loredo, T. J.
- Venue
- Maximum Entropy and Bayesian Methods
- Publisher
- Springer Netherlands
- Published
- 1990
- Pages
- 81-142
- OpenAlex
- W1865282656
- Cited by
- 168
- References
- 1
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 1 · 2022: 2 · 2021: 3 · 2020: 2 · 2019: 3 · 2018: 4 · 2017: 4 · 2016: 1 · 2015: 5 · 2014: 5 · 2013: 9 · 2012: 4
- FWCI
- 33.05
- Type
- book chapter
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Modeling and Causal Inference
- Keywords
- Bayesian inference, Bayesian probability, Laplace, SN 1987A, supernova neutrinos, parameter estimation, model comparison, Cox's theorem, Jaynes, normal distribution
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.
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