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 NVA (Norwegian Research Information Repository).

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

Publications

Displays the 5 most recent publications

Article Mustapha Regragui, Karel J. in ’t Hout, Michèle Vanmaele, Fred Espen Benth (2026)

Numerical methods for solving PIDEs arising in swing option pricing under a two-factor mean-reverting model with jumps

Applied Numerical Mathematics 227 p. 204-231 Doi: https://doi.org/10.1016/j.apnum.2026.05.004

Article Josué Diwambuena, Francesco Ravazzolo (2026)

What Are The Drivers of Labor Productivity in Italy?

Oxford Bulletin of Economics and Statistics Doi: https://doi.org/10.1111/obes.70070

Article Lieke Fleur Heupink, Espen Rostrup Nakstad, Hilde Lurås, Pål Wiik, Kristine Lippestad, Fred Espen Benth, Jurate Saltyte Benth (2026)

Short term forecast of new daily pandemic hospitalizations: A time series model for a single hospital

Epidemics 54 Doi: https://doi.org/10.1016/j.epidem.2026.100894

Article Fred Espen Benth, Fabian Andsem Harang, Fride Josefine Emberland Straum (2026)

Universal Approximation on Non-geometric Rough Paths and Applications to Financial Derivatives Pricing

Applied Mathematical Finance Doi: https://doi.org/10.1080/1350486X.2026.2659017

Article Nils Lid Hjort, Emil Aas Stoltenberg (2026)

Probability Proofs for Stirling (and More): The Ubiquitous Role of (Formula Presented.)

American Statistician Doi: https://doi.org/10.1080/00031305.2025.2603256

See all publications in the National Research Archive