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2022
Mark Klassificering av kreditkortskunder
Sandelius, Carl ^LU (2022) NEKH01 20221
Department of Economics
- Bach. Degree
Mark Corporate default prediction: a comparison between Merton model and random forest in an environment of data scarcity
Díaz García, Aitor ^LU and Mirosnikovs, Matiss ^LU (2022) NEKN02 20221
Department of Economics
- Master (One yr)
Mark Comparison of Machine Learning Algorithms in Predicting the Age Distribution Parameters of H&M Product Customers
Ismayil, Leyla ^LU (2022) DABN01 20221
Department of Statistics
Department of Economics
- Master (One yr)
2021
Mark Prediction of quote acceptance in a B2B environment using Random Forests and Gradient Boosting Machines
Gunnarsson, Jesper ^LU and Tyrberg, Jacob ^LU (2021) In Master's Theses in Mathematical Sciences FMSM01 20211
Mathematical Statistics
- Master (Two yrs)
Mark Topographic controls of drought impact on Swedish primary forests
Asch, Johanna ^LU (2021) In Student thesis series INES NGEM01 20211
Dept of Physical Geography and Ecosystem Science
- Master (Two yrs)
2020
Mark Machine learning methods on Swedish geological data
Hummel, Niklas ^LU (2020) In Master's Theses in Mathematical Sciences FMSM01 20202
Mathematical Statistics
- Master (Two yrs)
Mark Machine Learning for the Prevention of Injuries in the Construction Industry
Johannesson, Sarah ^LU and Ögren, Johanna ^LU (2020) INTM01 20201
Innovation Engineering
- Master (Two yrs)
Mark Predicting Corporate Takeover Outcomes Using Machine Learning
Furenmo, Gustav ^LU (2020) NEKH01 20201
Department of Economics
- Bach. Degree
Mark Improving High-Risk Consumer Credit Scoring with Financial Transaction Data
Stålhammar, Jon ^LU and Hvarfner, Carl ^LU (2020) In Master's Theses in Mathematical Sciences FMSM01 20201
Mathematical Statistics
- Master (Two yrs)
2019
Mark Crime Prediction in Swedish Municipalities with machine learning algorithms
Dominguez Berndtsson, Nils ^LU (2019) STAH11 20182
Department of Statistics
- Bach. Degree

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