Department of Statistics
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- 2023
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Mark
Predicting Tennis Match Results Using Classification Methods
- Master (One yr)
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Mark
Using LSTM for predictions of the regulating direction on the Swedish electricity intraday market
- Master (One yr)
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Mark
Harnessing AI for Suicidal Ideation Detection: Thoroughly Evaluating and Fine-Tuning Transformer Models to Identify Suicidal Ideation in Social Media Posts
- Master (One yr)
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Mark
A Mixed Time-Series & Machine Learning Approach for Price Forecasting in the Swedish Ancillary Market
- Master (One yr)
-
Mark
Forecasting gold returns using principal component analysis from a large number of predictors
- Master (One yr)
-
Mark
Sentiment Analysis for Talent Attraction
- Master (One yr)
-
Mark
Do central bank speeches help predict monetary policy?
- Master (One yr)
-
Mark
Segmenting Countries in the Food Packaging Market: A Cluster Analysis Approach
- Master (One yr)
-
Mark
Individual revenue forecasting in the banking sector
- Master (One yr)
-
Mark
Exploring Greenhouse Gas Emissions and socio-economic factors for climate change mitigation: A worldwide clustering analysis
- Master (One yr)