Editorial issue 3 + 4, 2023
Author:
Funder
Statistisches Bundesamt
Publisher
Springer Science and Business Media LLC
Subject
General Economics, Econometrics and Finance,General Social Sciences,Statistics and Probability
Link
https://link.springer.com/content/pdf/10.1007/s11943-023-00334-w.pdf
Reference6 articles.
1. Beck J (2023) Quality aspects of annotated data: A research synthesis. AStA Wirtsch Sozialstat Arch. https://doi.org/10.1007/s11943-023-00332-y
2. van Delden A, Burger J, Puts M (2023) Ten propositions on machine learning in official statistics. AStA Wirtsch Sozialstat Arch. https://doi.org/10.1007/s11943-023-00330-0
3. Doll HC, Alves Werb G (2023) Innovation for improving climate-related data-Lessons learned from setting up a data hub. AStA Wirtsch Sozialstat Arch. https://doi.org/10.1007/s11943-023-00326-w
4. Molladavoudi S, Yung W (2023) Exploring quality dimensions in trustworthy Machine Learning in the context of official statistics: model explainability and uncertainty quantification. AStA Wirtsch Sozialstat Arch. https://doi.org/10.1007/s11943-023-00331-z
5. Saidani Y, Dumpert F, Borgs C et al (2023) Qualitätsdimensionen maschinellen Lernens in der amtlichen Statistik. AStA Wirtsch Sozialstat Arch. https://doi.org/10.1007/s11943-023-00329-7
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