Projekter pr. år
Organisationsprofil
Organisationsprofil
The ability to extract information from data is fundamental in science, engineering and economy. This makes statistics and more generally data science indispensable. This is not least due to current enormous amounts of data where quantity of data can easily be confused with amount of information.
The section of statistics and mathematical economics is at the forefront of methodological research in computational statistics, graphical models, econometrics, forensic genetics and spatial statistics.
The section moreover possesses expertise in a wide range of statistical and data scientific disciplines such as biostatistics, time series analysis, and survival analysis as well as risk management. The group collaborates with external partners in numerous cross disciplinary research projects.
The basic philosophy of the group is that data and scientific questions are the key motivation for research in statistical theory and methodology. Thus most of the research of the group is founded in real world problems. To establish solid theoretical foundations for proposed solutions the group performs sophisticated basic research in mathematics and in particular probability theory.
The following are core research areas for the statistics and mathematical economics group:
- Data science, applied statistics and computational statistics
- Econometrics
- Forensic statistics
- Spatial statistics
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Samarbejde i de sidste fem år
Profiler
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Francesco Benvenuti
- Det Ingeniør- og Naturvidenskabelige Fakultet - Adjunkt
- Institut for Matematiske Fag - Adjunkt
- Statistik/Matematik-Økonomi - Adjunkt
Person: VIP
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Charisios Grivas
- Det Ingeniør- og Naturvidenskabelige Fakultet - Adjunkt
- Institut for Matematiske Fag - Adjunkt
- Statistik/Matematik-Økonomi - Adjunkt
Person: VIP
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Emilie Højbjerre-Frandsen
- Det Ingeniør- og Naturvidenskabelige Fakultet - ErhvervsPh.D
- Institut for Matematiske Fag - ErhvervsPh.D
- Statistik/Matematik-Økonomi - ErhvervsPh.D
Person: Ekstern
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Climate Econometrics
Vera-Valdés, J. E. & Kvist, O. M. T.
01/09/2022 → 31/08/2026
Projekter: Projekt › Ph.d.-projekt
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Physics informed machine learning for LiBs' aging behavior estimation and prediction
Guo, W., Stroe, D. & Vilsen, S. B.
01/12/2021 → 30/11/2024
Projekter: Projekt › Ph.d.-projekt
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Battery lifetime estimation and optimization in electric vehicles
Li, X., Stroe, D. & Vilsen, S. B.
01/12/2021 → 30/11/2024
Projekter: Projekt › Ph.d.-projekt
Publikationer
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Accuracy comparison and improvement for state of health estimation of lithium-ion battery based on random partial recharges and feature engineering
Li, X., Yu, D., Vilsen, S. B. & Stroe, D. I., maj 2024, I: Journal of Energy Chemistry. 92, s. 591-604 14 s.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgang -
Dataset of Lithium-ion battery degradation based on a forklift mission profile for state-of-health estimation and lifetime prediction
Vilsen, S. B. & Stroe, D-I., feb. 2024, I: Data in Brief. 52, 8 s., 109861.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
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Disaggregation of total energy use into space heating and domestic hot water: A city-scale suited approach
Schaffer, M., Widén, J., Vera-Valdés, J. E., Marszal-Pomianowska, A. & Larsen, T. S., 15 mar. 2024, I: Energy. 291, 15 s., 130351.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › peer review
Åben adgangFil15 Downloads (Pure)
Forskningsdatasæt
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Lithium-ion battery degradation dataset based on a realistic forklift operation profile
Vilsen, S. B. (Ophavsperson) & Stroe, D. (Ophavsperson), Mendeley Data, 29 aug. 2023
Datasæt
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Severity and 90-day survival of SARS-CoV-2 infection among patients with haematological disorders
Glenthøj, A. (Ophavsperson), Jakobsen, L. H. K. (Ophavsperson), Bjørn, M. E. (Ophavsperson), Poulsen, C. B. (Ophavsperson), Sengeløv, H. (Ophavsperson), Severinsen, M. T. (Ophavsperson), Qvist, K. (Ophavsperson), Overgaard, U. M. (Ophavsperson), Ahmad, S. A. (Ophavsperson), Rewes, A. (Ophavsperson), Mølle, I. (Ophavsperson), Strandholdt, C. N. (Ophavsperson), Kodahl, A. R. (Ophavsperson), Ryg, J. (Ophavsperson), Brieghel, C. (Ophavsperson), Johansen, I. S. (Ophavsperson), Kannik, K. (Ophavsperson), Jensen-Fangel, S. (Ophavsperson), Wiese, L. (Ophavsperson), Kirk, O. (Ophavsperson), Clausen, M. R. (Ophavsperson), Helleberg, M. (Ophavsperson) & Frederiksen, H. (Ophavsperson), Taylor & Francis, 2022
DOI: 10.6084/m9.figshare.18585389.v1, https://tandf.figshare.com/articles/journal_contribution/Severity_and_90-day_survival_of_SARS-CoV-2_infection_among_patients_with_haematological_disorders/18585389/1
Datasæt
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MCMC computations for Bayesian mixture models using repulsive point processes
Beraha, M. (Ophavsperson), Argiento, R. (Ophavsperson), Møller, J. (Ophavsperson) & Guglielmi, A. (Ophavsperson), Taylor & Francis, 9 nov. 2021
DOI: 10.6084/m9.figshare.16967325.v1, https://tandf.figshare.com/articles/dataset/MCMC_computations_for_Bayesian_mixture_models_using_repulsive_point_processes/16967325/1
Datasæt: Supplerende materiale
Aktiviteter
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The effect of the Paris Agreement and the COVID-19 pandemic on the volatility persistence of brown and green stocks
J. Eduardo Vera-Valdés (Foredragsholder)
24 aug. 2023 → 25 aug. 2023Aktivitet: Foredrag og mundtlige bidrag › Konferenceoplæg
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Computer algebra systems in R
Søren Højsgaard (Foredragsholder) & Mikkel Meyer Andersen (Andet)
24 aug. 2023Aktivitet: Foredrag og mundtlige bidrag › Konferenceoplæg
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The effect of the Paris Agreement and the COVID-19 pandemic on the volatility persistence of brown and green stocks
J. Eduardo Vera-Valdés (Foredragsholder)
27 jun. 2023 → 30 jun. 2023Aktivitet: Foredrag og mundtlige bidrag › Konferenceoplæg
Presse/medier
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Kræftens Bekæmpelse hædrer forskning i lymfekræft og bugspytkirtelkræft
25/08/2022
2 elementer af Mediedækning
Presse/medie
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Sakkyndigrapport: Siktedes DNA er lik DNA-et funnet på Tengs sin strømpebukse
12/04/2022
1 element af Mediedækning
Presse/medie
Impacts
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Matematiske modeller hjælper norske efterforskere
Mikkel Meyer Andersen (Deltager)
Impact: Social impact