Department of Statistics
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- 2024
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Mark
Wind Offshore Power Forecasting - A comparative analysis of forecasting accuracy between Machine Learning and classical Time Series models
- Master (One yr)
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Mark
Can Public Sentiment Improve Portfolio Performance?
- Master (One yr)
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Mark
Emails, Algorithms, and Bookkeeping
- 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
Exploring the Impact of Pseudo and Quasi Random Number Generators on Monte Carlo Integration of the Multivariate Normal Distribution
- Bach. Degree
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Mark
Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods
- Bach. Degree
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Mark
Predicting Counter-Strike Matches using Machine Learning Models
- Bach. Degree