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Enhancing Adaptive Spline Regression: An Evolutionary Approach to Optimal Knot Placement and Smoothing Parameter Selection.

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Title: Enhancing Adaptive Spline Regression: An Evolutionary Approach to Optimal Knot Placement and Smoothing Parameter Selection.
Authors: Thielmann, Anton1, anton.thielmann@tu-clausthal.de, Kneib, Thomas2, Säfken, Benjamin1
Source: Journal of Computational & Graphical Statistics; Oct-Dec2025, Vol. 34 Issue 4, p1397-1409, 13p
Database: Applied Science & Technology Source
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PubType: Academic Journal
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  Data: Enhancing Adaptive Spline Regression: An Evolutionary Approach to Optimal Knot Placement and Smoothing Parameter Selection.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+%26+Graphical+Statistics%22">Journal of Computational & Graphical Statistics</searchLink>; Oct-Dec2025, Vol. 34 Issue 4, p1397-1409, 13p
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        Value: 10.1080/10618600.2025.2450458
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      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 1397
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      – TitleFull: Enhancing Adaptive Spline Regression: An Evolutionary Approach to Optimal Knot Placement and Smoothing Parameter Selection.
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              Text: Oct-Dec2025
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