Bayesian Inference and the Principle of Maximum Entropy.
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| Title: | Bayesian Inference and the Principle of Maximum Entropy. |
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| Authors: | Foley, Duncan K.1 (AUTHOR), Scharfenaker, Ellis2 (AUTHOR) ellis.scharfenaker@economics.utah.edu |
| Source: | American Statistician. Nov2025, Vol. 79 Issue 4, p467-473. 7p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 189286913 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=189286913 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/00031305.2025.2501799 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 7 StartPage: 467 Titles: – TitleFull: Bayesian Inference and the Principle of Maximum Entropy. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Foley, Duncan K. – PersonEntity: Name: NameFull: Scharfenaker, Ellis IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 00031305 Numbering: – Type: volume Value: 79 – Type: issue Value: 4 Titles: – TitleFull: American Statistician Type: main |
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