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• W2136513845 abstract "We consider the partial least squares algorithm for dependent data and study the consequences of ignoring the dependence both theoretically and numerically. Ignoring nonstationary dependence structures can lead to inconsistent estimation, but a simple modification yields consistent estimation. A protein dynamics example illustrates the superior predictive power of the proposed method." @default.
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• W2136513845 date "2016-04-29" @default.
• W2136513845 modified "2023-10-16" @default.
• W2136513845 title "Partial least squares for dependent data" @default.
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• W2136513845 doi "https://doi.org/10.1093/biomet/asw010" @default.
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