Department of Statistics
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- 2025
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Mark
Semantic Similarity in Data Mesh Environments: A Column Classification Approach
- Master (One yr)
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Mark
The Impact of Public Sentiment During Corporate Crisis on Stock Price Movement
- Master (One yr)
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Mark
Unsupervised NLP for Industrial Support Ticket Analysis: SCM Group Case Study in Text Clustering and Topic Modeling
- Master (One yr)
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Mark
Predicting Corporate Credit Ratings with Machine Learning: A Sector-Specific Evaluation Across U.S. Industries
- Master (One yr)
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Mark
(XG)Boosting Covid-19 forecast accuracy - Utilizing panel data to forecast Covid-19 test positivity in Uppsala County
- Master (One yr)
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Mark
Multi-Label Classification of Sustainability Topics in Media Coverage: A Comparative Study of Transformer Models
- Master (One yr)
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Mark
Green Bonds Need More Attention
- Master (One yr)
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Mark
Can machine learning be used to accurately forecast intraday index returns using candlestick data?
- Master (One yr)
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Mark
Words That Move Markets: Linking News Keywords to Volatility Trends
- Bach. Degree
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Mark
Does it matter how many we include? A random data simulation study examining how number of explanatory variables affect model quality in linear regression models describing quantitative data.
- Bach. Degree