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27 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
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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
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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: 53238
M. Tavana, A. Khalili Nasr, H. Mina, and J. Michnik, “A private sustainable partner selection model for green public-private partnerships and regional economic development,” Socio-Economic Planning Sciences, vol. 83, Art. no. 101189, 2022, doi: 10.1016/j.seps.2021.101189.
LibreCat
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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
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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
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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
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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
2021 | Journal Article | LibreCat-ID: 48109
D. Frischemeier, R. Biehler, S. Podworny, and L. Budde, “A first introduction to data science education in secondary schools: Teaching and learning about data exploration with <scp>CODAP</scp> using survey data,” Teaching Statistics, vol. 43, no. S1, 2021, doi: 10.1111/test.12283.
LibreCat
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2021 | Journal Article | LibreCat-ID: 35737
R. Biehler and Y. Fleischer, “Introducing students to machine learning with decision trees using CODAP and Jupyter Notebooks,” Teaching Statistics, vol. 43, pp. S133–S142, 2021, doi: 10.1111/test.12279.
LibreCat
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2021 | Journal Article | LibreCat-ID: 35751
D. Frischemeier, R. Biehler, S. Podworny, and L. Budde, “A first introduction to data science education in secondary schools: Teaching and learning about data exploration with<scp>CODAP</scp>using survey data,” Teaching Statistics, vol. 43, no. S1, pp. S182–S189, 2021, doi: 10.1111/test.12283.
LibreCat
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2020 | Journal Article | LibreCat-ID: 45561
P. Duman, “Does Informational Equivalence Preserve Strategic Behavior? Experimental Results on Trockel’s Model of Selten’s Chain Store Story,” Games, vol. 11, no. 1, Art. no. 9, 2020, doi: 10.3390/g11010009.
LibreCat
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2017 | Working Paper | LibreCat-ID: 20868
S. Sievers, J. Klobucnik, and D. Miersch, Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence. 2017.
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2017 | Journal Article | LibreCat-ID: 5199
J. Klobucnik, D. Miersch, and S. Sievers, “Predicting Early Warning Signals of Financial Distress: Theory and Empirical Evidence,” SSRN Electronic Journal, 2017.
LibreCat
2017 | Journal Article | LibreCat-ID: 6075
A. Krüger, J. Tünnermann, and I. Scharlau, “Measuring and modeling salience with the theory of visual attention.,” Attention, Perception, & Psychophysics, vol. 79, no. 6, pp. 1593–1614, 2017, doi: 10.3758/s13414-017-1325-6.
LibreCat
| DOI
2016 | Journal Article | LibreCat-ID: 6071 | 
A. Krüger, J. Tünnermann, and I. Scharlau, “Fast and conspicuous? Quantifying salience with the theory of visual attention.,” Advances in Cognitive Psychology, vol. 12, no. 1, pp. 20–38, 2016, doi: 10.5709/acp-0184-1.
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