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Disentangling Signal from Noise: A Bayesian Hybrid Framework for Variance Decomposition in Complex Surveys with Post-Hoc Domains.

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Title: Disentangling Signal from Noise: A Bayesian Hybrid Framework for Variance Decomposition in Complex Surveys with Post-Hoc Domains.
Authors: Lee, JoonHo1 (AUTHOR) jlee296@ua.edu, Hooper, Alison2 (AUTHOR)
Source: Mathematics (2227-7390). Feb2026, Vol. 14 Issue 3, p512. 47p.
Database: Academic Search Ultimate
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  Data: Disentangling Signal from Noise: A Bayesian Hybrid Framework for Variance Decomposition in Complex Surveys with Post-Hoc Domains.
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  Data: <searchLink fieldCode="JN" term="%22Mathematics+%282227-7390%29%22">Mathematics (2227-7390)</searchLink>. Feb2026, Vol. 14 Issue 3, p512. 47p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191610987
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        Value: 10.3390/math14030512
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        Text: English
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        PageCount: 47
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      – TitleFull: Disentangling Signal from Noise: A Bayesian Hybrid Framework for Variance Decomposition in Complex Surveys with Post-Hoc Domains.
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              Text: Feb2026
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              Y: 2026
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