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1 Correction to: Japanese Journal of Statistics and Data Science (2021) 4:821–840 https://doi.org/10.1007/s42081-021-00135-x
The article “Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data”, written by Kento Egashira \(\cdot \) Kazuyoshi Yata \(\cdot \) Makoto Aoshima was originally published Online First without Open Access. After publication in volume 4, issue 2, page 821-840 the author decided to opt for Open Choice and to make the article an Open Access publication. Therefore, the copyright of the article has been changed to ©The Author(s) 2022 and the article is forthwith distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made.
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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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Egashira, K., Yata, K. & Aoshima, M. Correction to: Asymptotic properties of distance-weighted discrimination and its bias correction for high-dimension, low-sample-size data. Jpn J Stat Data Sci 5, 717–718 (2022). https://doi.org/10.1007/s42081-022-00167-x
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DOI: https://doi.org/10.1007/s42081-022-00167-x