Extending Approximate Bayesian Computation to Non-Linear Regression Models: The Case of Composite Distributions.
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| Title: | Extending Approximate Bayesian Computation to Non-Linear Regression Models: The Case of Composite Distributions. |
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| Authors: | Aminzadeh, Mostafa S.1 (AUTHOR) maminzadeh@towson.edu, Deng, Min1 (AUTHOR) |
| Source: | Risks. Nov2025, Vol. 13 Issue 11, p220. 17p. |
| Database: | Business Source Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: bsu DbLabel: Business Source Ultimate An: 189677846 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=bsu&AN=189677846 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/risks13110220 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 220 Titles: – TitleFull: Extending Approximate Bayesian Computation to Non-Linear Regression Models: The Case of Composite Distributions. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Aminzadeh, Mostafa S. – PersonEntity: Name: NameFull: Deng, Min IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 22279091 Numbering: – Type: volume Value: 13 – Type: issue Value: 11 Titles: – TitleFull: Risks Type: main |
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