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Personalized similarity regression models based on maximum correntropy criterion for stock series prediction.

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Title: Personalized similarity regression models based on maximum correntropy criterion for stock series prediction.
Authors: Zhao, Feng1, zhaofeng1016@126.com, Liu, Mengyang2, 1227750364@qq.com, Gao, Yating3, 1808254181@qq.com, Qiao, Xiaoyan4, qiaoxy1026@126.com, Ge, Shiyu1, geshiyu2008@163.com, Liu, Pingping1, 583914318@qq.com, Zhang, Yong5, 304043687@qq.com
Source: Knowledge & Information Systems; Jul2025, Vol. 67 Issue 7, p5925-5945, 21p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 185966679
AccessLevel: 2
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PubTypeId: academicJournal
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  Data: Personalized similarity regression models based on maximum correntropy criterion for stock series prediction.
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  Data: <searchLink fieldCode="AU" term="%22Zhao%2C+Feng%22">Zhao, Feng</searchLink><relatesTo>1</relatesTo>, <i>zhaofeng1016@126.com</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Mengyang%22">Liu, Mengyang</searchLink><relatesTo>2</relatesTo>, <i>1227750364@qq.com</i><br /><searchLink fieldCode="AU" term="%22Gao%2C+Yating%22">Gao, Yating</searchLink><relatesTo>3</relatesTo>, <i>1808254181@qq.com</i><br /><searchLink fieldCode="AU" term="%22Qiao%2C+Xiaoyan%22">Qiao, Xiaoyan</searchLink><relatesTo>4</relatesTo>, <i>qiaoxy1026@126.com</i><br /><searchLink fieldCode="AU" term="%22Ge%2C+Shiyu%22">Ge, Shiyu</searchLink><relatesTo>1</relatesTo>, <i>geshiyu2008@163.com</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Pingping%22">Liu, Pingping</searchLink><relatesTo>1</relatesTo>, <i>583914318@qq.com</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Yong%22">Zhang, Yong</searchLink><relatesTo>5</relatesTo>, <i>304043687@qq.com</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=185966679
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10115-025-02374-w
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      – Code: eng
        Text: English
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        StartPage: 5925
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      – TitleFull: Personalized similarity regression models based on maximum correntropy criterion for stock series prediction.
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            NameFull: Zhao, Feng
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            NameFull: Liu, Mengyang
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            NameFull: Ge, Shiyu
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            NameFull: Liu, Pingping
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            – D: 01
              M: 07
              Text: Jul2025
              Type: published
              Y: 2025
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