Department of Statistics
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- 2023
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Mark
Forecasting Swedish FCR-D Prices using Penalized Multivariate Time Series Techniques
(
- Master (One yr)
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Mark
Estimating the Impact of Website Changes on Conversion Rates
(
- 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
(
- 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)
-
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
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- Master (One yr)
-
Mark
Harnessing AI for Suicidal Ideation Detection: Thoroughly Evaluating and Fine-Tuning Transformer Models to Identify Suicidal Ideation in Social Media Posts
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- 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)