Advances in approximate Bayesian inference for models in epidemiology.
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| Title: | Advances in approximate Bayesian inference for models in epidemiology. |
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| Authors: | Li X; School of Mathematics and Statistics, University of St Andrews, UK; Centre for Research into Ecological and Environmental Modelling, University of St Andrews, UK. Electronic address: xl94@st-andrews.ac.uk., Chadwick F; School of Mathematics and Statistics, University of St Andrews, UK; Centre for Research into Ecological and Environmental Modelling, University of St Andrews, UK., Swallow B; School of Mathematics and Statistics, University of St Andrews, UK; Centre for Research into Ecological and Environmental Modelling, University of St Andrews, UK. |
| Source: | Epidemics [Epidemics] 2025 Dec; Vol. 53, pp. 100855. Date of Electronic Publication: 2025 Sep 19. |
| Publication Type: | Journal Article; Review |
| Journal Info: | Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101484711 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-0067 (Electronic) Linking ISSN: 18780067 NLM ISO Abbreviation: Epidemics Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40992245 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Advances in approximate Bayesian inference for models in epidemiology. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Li+X%22">Li X</searchLink>; School of Mathematics and Statistics, University of St Andrews, UK; Centre for Research into Ecological and Environmental Modelling, University of St Andrews, UK. Electronic address: xl94@st-andrews.ac.uk.<br /><searchLink fieldCode="AU" term="%22Chadwick+F%22">Chadwick F</searchLink>; School of Mathematics and Statistics, University of St Andrews, UK; Centre for Research into Ecological and Environmental Modelling, University of St Andrews, UK.<br /><searchLink fieldCode="AU" term="%22Swallow+B%22">Swallow B</searchLink>; School of Mathematics and Statistics, University of St Andrews, UK; Centre for Research into Ecological and Environmental Modelling, University of St Andrews, UK. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101484711%22">Epidemics</searchLink> [Epidemics] 2025 Dec; Vol. 53, pp. 100855. <i>Date of Electronic Publication: </i>2025 Sep 19. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Review – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier%22">Elsevier </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101484711 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1878-0067 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2218780067%22">18780067 </searchLink><i>NLM ISO Abbreviation: </i>Epidemics <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40992245 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.epidem.2025.100855 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 100855 Titles: – TitleFull: Advances in approximate Bayesian inference for models in epidemiology. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Li X – PersonEntity: Name: NameFull: Chadwick F – PersonEntity: Name: NameFull: Swallow B IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2025 Dec Type: published Y: 2025 Identifiers: – Type: issn-electronic Value: 1878-0067 Numbering: – Type: volume Value: 53 Titles: – TitleFull: Epidemics Type: main |
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