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Faculty and research

Department of Data Science and Analytics

The Department of Data Science and Analytics is the ninth department at BI Norwegian Business School and was established in 2020. Our faculty have a background in statistics, machine learning, statistical learning, and/or artificial intelligence.

BI Norwegian Business School registers our scientific publications in the national database Cristin (Current Research Information System In Norway).

Below is a list of the most recent publications. Follow this link to Cristin to make an advanced search.

Publications

  • Lee, Daesoo; Ovanger, Oscar, Eidsvik, Jo, Aune, Erlend, Skauvold, Jacob & Hauge, Ragnar (2025)
    Latent diffusion model for conditional reservoir facies generation
    Computers & Geosciences, 194. Doi: 10.1016/j.cageo.2024.105750
  • Vidziunas, Linas; Binkley, David & Moonen, Leon (2024)
    The Impact of Program Reduction on Automated Program Repair
  • Goracci, Greta; Ferrari, Davide, Giannerini, Simone & Ravazzolo, Francesco (2024)
    Robust Estimation for Threshold Autoregressive Moving-Average Models
    Journal of business & economic statistics. Doi: 10.1080/07350015.2024.2412011
  • Gnoatto, Alessandro; Lavagnini, Silvia & Picarelli, Athena (2024)
    Deep Quadratic Hedging
    Mathematics of Operations Research. Doi: 10.1287/moor.2023.0213
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  • Dreyer, Lars Willas; Eklund, Anders, Rognes, Marie Elisabeth, Malm, Jan, Qvarlander, Sara, Støverud, Karen-Helene, Mardal, Kent-Andre & Vinje, Vegard (2024)
    Modeling CSF circulation and the glymphatic system during infusion using subject specific intracranial pressures and brain geometries
    Fluids and Barriers of the CNS, 21(1). Doi: 10.1186/s12987-024-00582-0
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