An illustration of model agnostic explainability methods applied to environmental data.
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| Title: | An illustration of model agnostic explainability methods applied to environmental data. |
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| Authors: | Wikle CK; Department of Statistics, University of Missouri, Columbia, Missouri, USA., Datta A; Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland, USA., Hari BV; Wipro Limited, Bengaluru, India., Boone EL; Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, Virginia, USA., Sahoo I; Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, Virginia, USA., Kavila I; School of Pure and Applied Physics, Mahatma Gandhi University, Athirampuzha, Kerala, India., Castruccio S; Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana, USA., Simmons SJ; Institute for Advanced Analytics, North Carolina State University, Raleigh, North Carolina, USA., Burr WS; Department of Mathematics, Trent University, Peterborough, Ontario, Canada., Chang W; Department of Mathematical Sciences, University of Cincinnati, Cincinnati, Ohio, USA. |
| Source: | Environmetrics [Environmetrics] 2023 Feb; Vol. 34 (1). Date of Electronic Publication: 2022 Oct 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 100968246 Publication Model: Print-Electronic Cited Medium: Print ISSN: 1180-4009 (Print) Linking ISSN: 1099095X NLM ISO Abbreviation: Environmetrics Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37200542 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An illustration of model agnostic explainability methods applied to environmental data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wikle+CK%22">Wikle CK</searchLink>; Department of Statistics, University of Missouri, Columbia, Missouri, USA.<br /><searchLink fieldCode="AU" term="%22Datta+A%22">Datta A</searchLink>; Department of Biostatistics, Johns Hopkins University, Baltimore, Maryland, USA.<br /><searchLink fieldCode="AU" term="%22Hari+BV%22">Hari BV</searchLink>; Wipro Limited, Bengaluru, India.<br /><searchLink fieldCode="AU" term="%22Boone+EL%22">Boone EL</searchLink>; Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, Virginia, USA.<br /><searchLink fieldCode="AU" term="%22Sahoo+I%22">Sahoo I</searchLink>; Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, Virginia, USA.<br /><searchLink fieldCode="AU" term="%22Kavila+I%22">Kavila I</searchLink>; School of Pure and Applied Physics, Mahatma Gandhi University, Athirampuzha, Kerala, India.<br /><searchLink fieldCode="AU" term="%22Castruccio+S%22">Castruccio S</searchLink>; Department of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, Indiana, USA.<br /><searchLink fieldCode="AU" term="%22Simmons+SJ%22">Simmons SJ</searchLink>; Institute for Advanced Analytics, North Carolina State University, Raleigh, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Burr+WS%22">Burr WS</searchLink>; Department of Mathematics, Trent University, Peterborough, Ontario, Canada.<br /><searchLink fieldCode="AU" term="%22Chang+W%22">Chang W</searchLink>; Department of Mathematical Sciences, University of Cincinnati, Cincinnati, Ohio, USA. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22100968246%22">Environmetrics</searchLink> [Environmetrics] 2023 Feb; Vol. 34 (1). <i>Date of Electronic Publication: </i>2022 Oct 25. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Blackwell%22">Wiley-Blackwell </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>100968246 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>1180-4009 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%221099095X%22">1099095X </searchLink><i>NLM ISO Abbreviation: </i>Environmetrics <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37200542 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/env.2772 Languages: – Code: eng Text: English Titles: – TitleFull: An illustration of model agnostic explainability methods applied to environmental data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wikle CK – PersonEntity: Name: NameFull: Datta A – PersonEntity: Name: NameFull: Hari BV – PersonEntity: Name: NameFull: Boone EL – PersonEntity: Name: NameFull: Sahoo I – PersonEntity: Name: NameFull: Kavila I – PersonEntity: Name: NameFull: Castruccio S – PersonEntity: Name: NameFull: Simmons SJ – PersonEntity: Name: NameFull: Burr WS – PersonEntity: Name: NameFull: Chang W IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: 2023 Feb Type: published Y: 2023 Identifiers: – Type: issn-print Value: 1180-4009 Numbering: – Type: volume Value: 34 – Type: issue Value: 1 Titles: – TitleFull: Environmetrics Type: main |
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