Faculty and research

Department of Data Science and Analytics

The Department of Data Science and Analytics is a new academic department at BI Norwegian Business School. We are currently hiring faculty with 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.


  • Billé, Anna Gloria; Gianfreda, Angelica, Del Grosso, Filippo & Ravazzolo, Francesco (2022)
    Forecasting electricity prices with expert, linear, and nonlinear models
    International Journal of Forecasting. Doi: 10.1016/j.ijforecast.2022.01.003
  • 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
  • Andrade Mancisidor, Rogelio; Kampffmeyer, Michael, Aas, Kjersti & Jenssen, Robert (2022)
    Generating customer's credit behavior with deep generative models
    Knowledge-Based Systems, 245, p. 1-13. Doi: 10.1016/j.knosys.2022.108568
  • 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
  • Avesani, Diego; Zanfei, Ariele, Di Marco, Nicola, Galletti, Andrea, Ravazzolo, Francesco, Righetti, Maurizio & Majone, Bruno (2022)
    Short-term hydropower optimization driven by innovative time-adapting econometric model
    Applied Energy, 310. Doi: 10.1016/j.apenergy.2021.118510
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