Department of Statistics
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- 2023
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Mark
Exploring Greenhouse Gas Emissions and socio-economic factors for climate change mitigation: A worldwide clustering analysis
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- Master (One yr)
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Mark
Classification of IKEA home furnishing items into design style groups using deep learning methods
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- Master (One yr)
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Mark
How Does the Three-factor Model Perform and What Explains its Performance? Empirical tests on Swedish stock portfolios
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- Master (One yr)
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Mark
Machine Learning in Risk Management Applications
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- Master (One yr)
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Mark
Predicting the Movement of the S&P 500 Index using Machine Learning
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- Master (One yr)
-
Mark
Tärningssystem i Rollspel
(
- Bach. Degree
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Mark
Forecasting copper price using VAR and the XGBoost model: an experiment with a relatively small dataset
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- Master (One yr)
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Mark
Forecasting Swedish FCR-D Prices using Penalized Multivariate Time Series Techniques
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- Master (One yr)
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Mark
Estimating the Impact of Website Changes on Conversion Rates
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- Master (One yr)
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Mark
A Hybrid Model for spam review detection using fine-tuned BERT and DistilBERT
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- Master (One yr)
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Mark
Den historiskt bästa Formel-1 föraren
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- Bach. Degree
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Mark
Korttidsprognoser av Kalixälvens vattenflöde
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- Bach. Degree
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Mark
Hållbarhetsbetyget ESG - är spelreglerna desamma för alla?
(
- Bach. Degree
- 2022
-
Mark
Examensgraden vid yrkeshögskolan i Sverige - En multipel logistisk regression
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- Bach. Degree
-
Mark
Household Energy Cost Optimization Using Deep Reinforcement Learning
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- Master (One yr)