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Probabilistic predictive principal component analysis for spatially misaligned and high‐dimensional air pollution data with missing observations.

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Title: Probabilistic predictive principal component analysis for spatially misaligned and high‐dimensional air pollution data with missing observations.
Authors: Vu, Phuong T.1 (AUTHOR) phuongvu@uw.edu, Larson, Timothy V.2 (AUTHOR), Szpiro, Adam A.1 (AUTHOR)
Source: Environmetrics. Jun2020, Vol. 31 Issue 4, p1-17. 17p.
Database: Environment Complete
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Header DbId: eih
DbLabel: Environment Complete
An: 143246923
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PubType: Academic Journal
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  Data: <searchLink fieldCode="JN" term="%22Environmetrics%22">Environmetrics</searchLink>. Jun2020, Vol. 31 Issue 4, p1-17. 17p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=143246923
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        Value: 10.1002/env.2614
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        Text: English
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      – TitleFull: Probabilistic predictive principal component analysis for spatially misaligned and high‐dimensional air pollution data with missing observations.
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              Text: Jun2020
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