Efficient Shapley performance attribution for least-squares regression.
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| Title: | Efficient Shapley performance attribution for least-squares regression. |
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| Authors: | Bell, Logan1 (AUTHOR) lmbell@alumni.stanford.edu, Devanathan, Nikhil2 (AUTHOR), Boyd, Stephen2 (AUTHOR) |
| Source: | Statistics & Computing. Oct2024, Vol. 34 Issue 5, p1-14. 14p. |
| Database: | Mathematics Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: msf DbLabel: Mathematics Source An: 178551817 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Efficient Shapley performance attribution for least-squares regression. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Bell%2C+Logan%22">Bell, Logan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lmbell@alumni.stanford.edu</i><br /><searchLink fieldCode="AR" term="%22Devanathan%2C+Nikhil%22">Devanathan, Nikhil</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Boyd%2C+Stephen%22">Boyd, Stephen</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Statistics+%26+Computing%22">Statistics & Computing</searchLink>. Oct2024, Vol. 34 Issue 5, p1-14. 14p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=178551817 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11222-024-10459-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 1 Titles: – TitleFull: Efficient Shapley performance attribution for least-squares regression. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bell, Logan – PersonEntity: Name: NameFull: Devanathan, Nikhil – PersonEntity: Name: NameFull: Boyd, Stephen IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 10 Text: Oct2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 09603174 Numbering: – Type: volume Value: 34 – Type: issue Value: 5 Titles: – TitleFull: Statistics & Computing Type: main |
| ResultId | 1 |