Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning.
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| Title: | Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning. |
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| Authors: | Leung, Tim1 (AUTHOR) timleung@uw.edu, Zhao, Theodore1 (AUTHOR) |
| Source: | Applied Stochastic Models in Business & Industry. Nov2021, Vol. 37 Issue 6, p993-1016. 24p. |
| 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: 154103814 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Leung%2C+Tim%22">Leung, Tim</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> timleung@uw.edu</i><br /><searchLink fieldCode="AR" term="%22Zhao%2C+Theodore%22">Zhao, Theodore</searchLink><relatesTo>1</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Applied+Stochastic+Models+in+Business+%26+Industry%22">Applied Stochastic Models in Business & Industry</searchLink>. Nov2021, Vol. 37 Issue 6, p993-1016. 24p. |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=msf&AN=154103814 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1002/asmb.2625 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 24 StartPage: 993 Titles: – TitleFull: Financial time series analysis and forecasting with Hilbert–Huang transform feature generation and machine learning. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Leung, Tim – PersonEntity: Name: NameFull: Zhao, Theodore IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2021 Type: published Y: 2021 Identifiers: – Type: issn-print Value: 15241904 Numbering: – Type: volume Value: 37 – Type: issue Value: 6 Titles: – TitleFull: Applied Stochastic Models in Business & Industry Type: main |
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