Sökning: "Risk prediction"
Visar resultat 21 - 25 av 326 uppsatser innehållade orden Risk prediction.
21. Exploring the Importance of Women's Educational Attainment in HIV Risk Prediction : A Comparative Study of Logistic Regression, Random Forest and XGBoost
Kandidat-uppsats, Uppsala universitet/Statistiska institutionenSammanfattning : Due to extensive HIV testing and treatment programs, the rate of new HIV infections has declined in recent years. However, young women South of the Sahara continue to be disproportionately burdened by the epidemic. The aim of this thesis is to explore the complex association between women's educational attainment and HIV prevalence. LÄS MER
22. Machine learning for risk ranking of component failure : A comparative study of traditional- and survival machine learning approaches applied to historical data
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/DatalogiSammanfattning : This master thesis investigates the use of machine learning for predicting and assessing the risk of railway vehicle component failures. Data used for failure prediction often comes with limitations due to the complex nature of maintenance or sometimes requires investments for the extraction of information. LÄS MER
23. Risk Assessment for Space Debris Collisions
Master-uppsats, KTH/Lättkonstruktioner, marina system, flyg- och rymdteknik, rörelsemekanikSammanfattning : The increasing reliance on space infrastructure and its rapid expansion necessitate the development and enhancement of tools for space debris and fragmentation research. Accurate prediction of the risks associated with satellite fragmentation requires comprehensive understanding of the dynamics involved. LÄS MER
24. Calculating Value-at-Risk under the G-Normal distribution. : Applied with Swedish data.
Kandidat-uppsats, Uppsala universitet/Nationalekonomiska institutionenSammanfattning : Value–at–Risk (VaR) since its birth at JPMorgan in the 1990s, has become widely adopted by first and foremost the financial industry, but in later days regulatory authorities as a way of calculating downside risk. The subject in hand has led to numerous attempts by both the industry as well as scholars to find the perfect settings to calculate VaR. LÄS MER
25. A Multi-Level Extension of the Hierarchical PCA Framework with Applications to Portfolio Construction with Futures Contracts
Master-uppsats, KTH/Matematisk statistikSammanfattning : With an increasingly globalised market and growing asset universe, estimating the market covariance matrix becomes even more challenging. In recent years, there has been an extensive development of methods aimed at mitigating these issues. LÄS MER