Department of Statistics
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- 2025
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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
Predicting Corporate Bankruptcy in Sweden: A Machine Learning Approach Combining Financial and Nonfinancial Data
- Master (One yr)
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Mark
Uncertainty Estimation in Deep Neural Networks: A Comparative Study of Bayesian Approximation and Conformal Prediction
- Master (One yr)
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Mark
Do Words Matter? Gendered Language and Sentiment Polarity in U.S. News Headlines Across #MeToo and COVID-19
- Master (One yr)
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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
Comparing Machine Learning Models for Ukrainian Households Clustering through the Prism of Expenditures
- 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)