A self-normalization and support vector regression based approach for detecting structural change points in time series.
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| Title: | A self-normalization and support vector regression based approach for detecting structural change points in time series. |
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| Authors: | Xie N; Xingzhi College of Xi'an University of Finance and Economics, Xi'an, Shaanxi, China.; School of Mathematics and Statistics, Qinghai Normal University, Xining, Qinghai, China. |
| Source: | PloS one [PLoS One] 2026 Apr 07; Vol. 21 (4), pp. e0340729. Date of Electronic Publication: 2026 Apr 07 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1932-6203 |
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| DOI: | 10.1371/journal.pone.0340729 |
