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.


  • Moss, Jonas & Grønneberg, Steffen (2023)
    Partial Identification of Latent Correlations with Ordinal Data
    Psychometrika. Doi: 10.1007/s11336-022-09898-y
  • Juelsrud, Ragnar Enger & Larsen, Vegard Høghaug (2023)
    Macroeconomic uncertainty and bank lending
    Economics Letters. Doi: 10.1016/j.econlet.2023.111041
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  • Foroni, Claudia; Ravazzolo, Francesco & Rossini, Luca (2023)
    Are low frequency macroeconomic variables important for high frequency electricity prices?
    Economic Modelling, 120. Doi: 10.1016/j.econmod.2022.106160
  • Iacopini, Matteo; Ravazzolo, Francesco & Rossini, Luca (2022)
    Proper Scoring Rules for Evaluating Density Forecasts with Asymmetric Loss Functions
    Journal of business & economic statistics. Doi: 10.1080/07350015.2022.2035229
  • Durante, Fabrizio; Gianfreda, Angelica, Ravazzolo, Francesco & Rossini, Luca (2022)
    A multivariate dependence analysis for electricity prices, demand and renewable energy sources
    Information Sciences, 590, p. 74-89. Doi: 10.1016/j.ins.2022.01.003
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