Department of Statistics
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- 2019
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Mark
Econometric Features of Models Used in Aid Allocation Studies
- Bach. Degree
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Mark
Are GARCH Models Appropriate for Analysing Volatility Structures in Fundamental Valuations of the OMXS30?
- Bach. Degree
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Mark
MODELING CAPITAL ASSET RETURNS ON THE SWEDISH STOCK MARKET - An evaluation of Fama French’s Five Factor Model against its predecessors
- Bach. Degree
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Mark
Crime Prediction in Swedish Municipalities with machine learning algorithms
- Bach. Degree
-
Mark
Twitter bot detection & categorization - a comparative study of machine learning methods
- Master (One yr)
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Mark
Counterfactual Prediction Methods for Causal Inference in Observational Studies with Continuous Treatments
- Master (One yr)
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Mark
Volatility of Bitcoin in a European Context
- Master (One yr)
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Mark
Rank-Based Selection Strategies for Forecast Combinations: An Evaluation Study
- Master (One yr)
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Mark
Proportionalitet i svenska Riksdagsval: En analys av den reformerade vallagen med Dirichlet-fördelade simuleringar
- Bach. Degree
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Mark
Analyzing Call Center Data - A Case Study
- Bach. Degree