Department of Statistics
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- 2025
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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
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Mark
Valresultat ur ett regressionsperspektiv
- Bach. Degree
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Mark
Analysis and Prediction of Cyber-Threats using Machine Learning algorithms
- 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
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)