Professor Emeritus Jostein Kåre Lillestøl

E-mail: Jostein.Lillestol@nhh.no
Telephone: +47 55 95 92 48
Department: Business and Management Science
Centre: NoCeT
Office: MS-431
Expertise: Management Science Probability Statistics

Biography and CV Selected publications Research Diversions Teaching material

Jostein Lillestøl is a Professor Emeritus of statistics at NHH. He has a science degree in from University of Oslo in 1967, specializing in mathematical statistics, and a PhD in statistics from University of California, Berkeley in 1975. In 1989-90 he was visiting researcher at University of Wisconsin, Madison.

His current theoretical interests are time series analysis, multivariate analysis, risk analysis and Bayesian statistics. His current applied interests are the use of probability and statistics to areas such as resource prediction and control, uncovering economic crime and to risk management. Professor Lillestøl has scientific contributions to all mentioned areas above.

Selected publications

Author(s)	Title	Publisher
Andersson, Jonas; Jørnsten, Kurt; Lillestøl, Jostein Kåre; Ubøe, Jan	Analyzing learning effects in the newsvendor model by probabilistic methods	Decision Analytics Journal Volume 7 (9 pages); 2023
Lillestøl, Jostein Kåre	Sampling risk evaluations in tax audits: Some modelling issues	Law, Probability and Risk (20 pages); 2022
Lillestøl, Jostein Kåre	Sample statistics as convincing evidence: a tax fraud case	Law, Probability and Risk Volume 18 (2-3); page 149 - 176; 2019
Ubøe, Jan; Andersson, Jonas; Jørnsten, Kurt; Lillestøl, Jostein Kåre; Sandal, Leif Kristoffer	Statistical testing of bounded rationality with applications to the newsvendor model	European Journal of Operational Research Volume 259 (1); page 251 - 261; 2017
Lillestøl, Jostein Kåre	Risiko, sårbarhet og beredskap ved oljeutslipp	Investeringsprosjekter og miljøkonsekvenser : en antologi med bidrag fra 16 forskere.; page 174 - 194; 2016
Lillestøl, Jostein Kåre; Sinding-Larsen, Richard	Creaming and the likelihood of discovering additional giant petroleum fields	Mathematical Geosciences Volume 49 (1); page 67 - 83; 2016
Andersson, Jonas; Lillestøl, Jostein; Støve, Bård; Schjelderup, Guttorm	Hva vet vi om dem som skjuler inntekt og formue i skatteparadis?	Magma forskning og viten (1); page 29 - 35; 2013
Lillestøl, Jostein Kåre; Ubøe, Jan; Rønsen, Yngve; Hjortdahl, Per	Patient allocations in general practice in case of patients' preferences for gender of doctor and their unavailability	BMC Research Notes Volume 4 (11 pages); 2011
Lillestøl, Jostein Kåre; Andersson, Jonas	The Z-Poisson distribution with application to the modelling of soccer score probabilities	Statistical Modelling Volume 11 (6); page 507 - 522; 2011
Andersson, Jonas; Lillestøl, Jostein Kåre	Multivariate modelling and prediction of hourly one-day ahead prices at Nordpool	Energy, natural resources and environmental economics; page 133 - 154; 2010
Ubøe, Jan; Lillestøl, Jostein	Uncovering preferences from patient list data using benefit efficient models	Journal of Biomedical Science and Engineering Volume 3 (8); page 799 - 806; 2010
Andersson, Jonas; Lillestøl, Jostein Kåre	Modelling and forecasting electricity consumption by functional data analysis	Journal of Energy Markets Volume 3 (1); page 3 - 15; 2010
Ubøe, Jan; Lillestøl, Jostein	Benefit efficient statistical distributions on patient lists	Journal of Health Economics Volume 26 (4); page 800 - 820; 2007
Karlis, Dimitris; Lillestøl, Jostein	Bayesian estimation of NIG models via Markov chain Monte Carlo methods	Applied Stochastic Models in Business and Industry Volume 20 (4); page 323 - 338; 2004
Lillestøl, Jostein	Risk analysis and the NIG distribution	Journal of Risk Volume 2 (4); page 41 - 56; 2000