<p>Comparison of algorithms for estimating regression splines using lasso penalty</p>

Eun-Ji Lee; Jong-Beom Park; Dong-Young Lee; Jae-Hwan Jhong

doi:10.7490/f1000research.1120049.1

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Lee EJ, Park JB, Lee DY and Jhong JH. Comparison of algorithms for estimating regression splines using lasso penalty [version 1; not peer reviewed]. F1000Research 2024, 13:1470 (poster) (https://doi.org/10.7490/f1000research.1120049.1)

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Comparison of algorithms for estimating regression splines using lasso penalty

Eun-Ji Lee, Jong-Beom Park, Dong-Young Lee, Jae-Hwan Jhong¹

Published 03 Dec 2024 (https://doi.org/10.7490/f1000research.1120049.1)

Author Affiliations

¹ Information Statistics, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, South Korea

Copyright © 2024 Lee EJ et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 03 Dec 2024

Comparison of algorithms for estimating regression splines using lasso penalty
[version 1; not peer reviewed]

Eun-Ji Lee, Jong-Beom Park, Dong-Young Lee, Jae-Hwan Jhong¹

Author Affiliations

¹ Information Statistics, Chungbuk National University, Cheongju-si, Chungcheongbuk-do, South Korea

Presented at

Korean Statistical Society Conference, 2024

Abstract

Competing Interests

No competing interests were disclosed

Keywords

alternating direction method of multipliers, coordinate descent algorithm, knot selection, lasso penalty, quadratic programming

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