Anders Hjort

Doctoral Research Fellow
Norwegian version of this page
Room 806
Visiting address Moltke Moes vei 35 Niels Henrik Abels hus 0851 Oslo
Postal address Postboks 1053 Blindern 0316 Oslo

Academic interests

  • Tree based machine learning methods (boosted trees, random forest etc). 
  • Statistical methods for house price prediction. 
  • Computational statistics.


I am an industrial PhD candidate at the Statistics and Data Science group at Department of Mathematics. 

My PhD project (Uncertainty in house price prediction, 2021-2024) aims to study methods for house price prediction, with special interest in the uncertainty associated with a prediction. We are especially interested in uncertainty in tree based methods for supervised machine learning, such as random forest and boosted trees. 

The project is supervised by associate professor Johan Pensar, associate professor Ida Scheel and professor Dag Einar Sommervoll (NMBU). The project is conducted in collaboration with Eiendomsverdi

I completed my MSc in Industrial Mathematics from NTNU in Trondheim in 2019, where I also spent one academic year at TU Berlin in Germany. I have previously worked as a consultant for Deloitte.  

Tags: Boosted trees, house price prediction
Published May 26, 2021 11:30 AM - Last modified Aug. 3, 2021 1:49 PM

Research groups