Vecchia-Approximated Deep Gaussian Processes for Computer Experiments.
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| Title: | Vecchia-Approximated Deep Gaussian Processes for Computer Experiments. |
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| Authors: | Sauer, Annie1, Cooper, Andrew1, Gramacy, Robert B.1 |
| Source: | Journal of Computational & Graphical Statistics; Jul-Sep2023, Vol. 32 Issue 3, p824-837, 14p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 171952363 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Vecchia-Approximated Deep Gaussian Processes for Computer Experiments. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Sauer%2C+Annie%22">Sauer, Annie</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Cooper%2C+Andrew%22">Cooper, Andrew</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Gramacy%2C+Robert+B%2E%22">Gramacy, Robert B.</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+%26+Graphical+Statistics%22">Journal of Computational & Graphical Statistics</searchLink>; Jul-Sep2023, Vol. 32 Issue 3, p824-837, 14p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=171952363 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/10618600.2022.2129662 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 824 Titles: – TitleFull: Vecchia-Approximated Deep Gaussian Processes for Computer Experiments. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Sauer, Annie – PersonEntity: Name: NameFull: Cooper, Andrew – PersonEntity: Name: NameFull: Gramacy, Robert B. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 07 Text: Jul-Sep2023 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 10618600 Numbering: – Type: volume Value: 32 – Type: issue Value: 3 Titles: – TitleFull: Journal of Computational & Graphical Statistics Type: main |
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