Department of Statistics
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- 2024
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Mark
Beating the Bookies
(
- Master (One yr)
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Mark
Comparing Machine Learning Models for Predicting Lung Cancer Mortality Rates
(
- Bach. Degree
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Mark
The Impact of Government Policies on the COVID-19 Pandemic in Scandinavia: A Machine Learning Approach.
(
- Master (One yr)
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Mark
Analyzing Functional Data of Two-Dimensional Arguments using Tensor Spline Orthonormal Bases
(
- Master (One yr)
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Mark
Navigating ESG Impact: A Comparative Study of Investment Strategies within the DAX Index companies
(
- Master (One yr)
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Mark
Show Me the Women: A Double Machine Learning approach to unravel the Bechdel test’s impact on box office performance
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- Master (One yr)
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Mark
Can Public Sentiment Improve Portfolio Performance?
(
- Master (One yr)
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Mark
Kvantitativ modellering av celltillväxt vid exponering av giftiga substanser – en analys av holografiska experiment
(
- Bach. Degree
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Mark
Comparison of traditional machine learning algorithms with large language models for developing personalized recommender systems for enhancing passenger experience on flights
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- Master (One yr)
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Mark
Semantic Similarity Analysis on English Translations of the Iliad
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- Master (One yr)