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16 Publications
2023 | Journal Article | LibreCat-ID: 45484
M. A. Sherif, A. A. M. da Silva, S. Pestryakova, A. F. Ahmed, S. Niemann, and A.-C. N. Ngomo, “IngridKG: A FAIR Knowledge Graph of Graffiti,” Scientific Data, vol. 10, no. 1, Art. no. 318, 2023, doi: 10.1038/s41597-023-02199-8.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 32335
S. PODWORNY, S. Hüsing, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, Art. no. 6, 2022, doi: 10.52041/serj.v21i2.46.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 34200
T. Bloh, “Rekonstruktive Evaluationsforschung im Kontext praxeologischer Kompetenzdiskurse. Kritische Reflexionen und konzeptionelle Überlegungen zur Dokumentarischen Evaluationsforschung,” Zeitschrift für Evaluation, vol. 2022, no. 02, pp. 193–215, 2022, doi: 10.31244/zfe.2022.02.02.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 48108
S. PODWORNY, S. HÜSING, and C. SCHULTE, “A PLACE FOR A DATA SCIENCE PROJECT IN SCHOOL: BETWEEN STATISTICS AND EPISTEMIC PROGRAMMING,” STATISTICS EDUCATION RESEARCH JOURNAL, vol. 21, no. 2, Art. no. 6, 2022, doi: 10.52041/serj.v21i2.46.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 50025
Y. Feng, T. Gries, S. Letmathe, and D. Schulz, “The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series,” The R Journal, vol. 14, no. 1, pp. 182–195, 2022, doi: 10.32614/rj-2022-017.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 33666
Y. Feng, T. Gries, S. Letmathe, and D. Schulz, “The smoots Package in R for Semiparametric Modeling of Trend Stationary Time Series,” The R Journal, vol. 14, no. 1, pp. 182–195, 2022, doi: 10.32614/rj-2022-017.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 34920
R. Biehler, R. De Veaux, J. Engel, S. Kazak, and D. Frischemeier, “Editorial: Research on Data Science Education,” Statistics Education Research Journal, vol. 21, no. 2, Art. no. 1, 2022, doi: 10.52041/serj.v21i2.606.
LibreCat
| DOI
2022 | Journal Article | LibreCat-ID: 35672
Y. Fleischer, R. Biehler, and C. Schulte, “Teaching and Learning Data-Driven Machine Learning with Educationally Designed Jupyter Notebooks,” Statistics Education Research Journal, vol. 21, no. 2, Art. no. 7, 2022, doi: 10.52041/serj.v21i2.61.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 32243
L. Dabelow, S. Bo, and R. Eichhorn, “How irreversible are steady-state trajectories of a trapped active particle?,” Journal of Statistical Mechanics: Theory and Experiment, vol. 2021, no. 3, Art. no. 033216, 2021, doi: 10.1088/1742-5468/abe6fd.
LibreCat
| DOI
2021 | Journal Article | LibreCat-ID: 33649
J. Kessler, F. Calcavecchia, and T. Kühne, “Artificial Neural Networks as Trial Wave Functions for Quantum Monte Carlo,” Advanced Theory and Simulations, vol. 4, no. 4, Art. no. 2000269, 2021, doi: 10.1002/adts.202000269.
LibreCat
| DOI