A comparative study of simulation-based inference methods for epidemic models with identifiability considerations.
Saved in:
| Title: | A comparative study of simulation-based inference methods for epidemic models with identifiability considerations. |
|---|---|
| Authors: | Jang G; School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, United States of America., Candan KS; School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, United States of America., Chowell G; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.; Department of Applied Mathematics, Kyung Hee University, Yongin, Korea. |
| Source: | PLoS computational biology [PLoS Comput Biol] 2026 Jun 02; Vol. 22 (6), pp. e1014364. Date of Electronic Publication: 2026 Jun 02 (Print Publication: 2026). |
| Publication Type: | Journal Article; Comparative Study |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42228739 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: A comparative study of simulation-based inference methods for epidemic models with identifiability considerations. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Jang+G%22">Jang G</searchLink>; School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, United States of America.<br /><searchLink fieldCode="AU" term="%22Candan+KS%22">Candan KS</searchLink>; School of Computing and Augmented Intelligence, Arizona State University, Tempe, Arizona, United States of America.<br /><searchLink fieldCode="AU" term="%22Chowell+G%22">Chowell G</searchLink>; Department of Population Health Sciences, School of Public Health, Georgia State University, Atlanta, Georgia, United States of America.; Department of Applied Mathematics, Kyung Hee University, Yongin, Korea. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101238922%22">PLoS computational biology</searchLink> [PLoS Comput Biol] 2026 Jun 02; Vol. 22 (6), pp. e1014364. <i>Date of Electronic Publication: </i>2026 Jun 02 (<i>Print Publication: </i>2026). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Comparative Study – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Public+Library+of+Science%22">Public Library of Science </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101238922 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Internet <i>ISSN: </i>1553-7358 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221553734X%22">1553734X </searchLink><i>NLM ISO Abbreviation: </i>PLoS Comput Biol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42228739 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1371/journal.pcbi.1014364 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e1014364 Titles: – TitleFull: A comparative study of simulation-based inference methods for epidemic models with identifiability considerations. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Jang G – PersonEntity: Name: NameFull: Candan KS – PersonEntity: Name: NameFull: Chowell G IsPartOfRelationships: – BibEntity: Dates: – D: 02 M: 06 Text: 2026 Jun 02 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1553-7358 Numbering: – Type: volume Value: 22 – Type: issue Value: 6 Titles: – TitleFull: PLoS computational biology Type: main |
| ResultId | 1 |