Bayesian networks: regenerative Gibbs samplings.
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| Title: | Bayesian networks: regenerative Gibbs samplings. |
|---|---|
| Authors: | Minh, Do Le Paul1 (AUTHOR) |
| Source: | Communications in Statistics: Simulation & Computation. 2022, Vol. 51 Issue 12, p7554-7564. 11p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Items | – Name: Title Label: Title Group: Ti Data: Bayesian networks: regenerative Gibbs samplings. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Minh%2C+Do+Le+Paul%22">Minh, Do Le Paul</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Communications+in+Statistics%3A+Simulation+%26+Computation%22">Communications in Statistics: Simulation & Computation</searchLink>. 2022, Vol. 51 Issue 12, p7554-7564. 11p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=160564789 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/03610918.2020.1839770 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 11 StartPage: 7554 Titles: – TitleFull: Bayesian networks: regenerative Gibbs samplings. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Minh, Do Le Paul IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: 2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 03610918 Numbering: – Type: volume Value: 51 – Type: issue Value: 12 Titles: – TitleFull: Communications in Statistics: Simulation & Computation Type: main |
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