Research output per year
Research output per year
Personal profile
Keywords
- Bayesian Inference
- Uncertainly Modelling
- Extreme Values and Large Deviations
- Stochastic Processes
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Dive into the research topics where Daniel Nickelsen is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
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Bayesian hierarchical probabilistic forecasting of intraday electricity prices
Nickelsen, D. & Müller, G., Feb 2025, In: Applied Energy. 380, p. 1-18Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
Open Access -
Improved identification accuracy in equation learning via comprehensive R^2-elimination and Bayesian model selection
Nickelsen, D. & Bah, B., 15 Nov 2023, In: Transactions on Machine Learning Research (TMLR).Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
Open Access -
Noise correction of large deviations with anomalous scaling
Nickelsen, D. & Touchette, H., 3 Jun 2022, In: Physical Review E. 105Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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Modelling equilibration of local many-body quantum systems by random graph ensembles
Nickelsen, D. & Kastner, M., 28 May 2020, In: Quantum. 4Research output: Journal Article or Conference Article in Journal › Journal article › Research › peer-review
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A Rigorous Entropy Law for the Turbulent Cascade
Fuchs, A., Reinke, N., Nickelsen, D. & Peinke, J., 2019, Turbulent Cascades II. Cham, Switzerland : Springer Nature Switzerland, p. 17-25Research output: Conference Article in Proceeding or Book/Report chapter › Book chapter › Research › peer-review
Courses
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First-year Project: Map of Denmark. Visualization, Navigation, Searching, and Route Planning
01/01/2000 → 30/06/2025
Course
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