Sökning: "Mathematics and Statistics"
Visar resultat 11 - 15 av 1284 uppsatser innehållade orden Mathematics and Statistics.
11. Predicting Counter-Strike Matches using Machine Learning Models
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Sports betting is a widespread industry where predictive modeling play a big role. The goal of this thesis is to explore the possibilities of machine learning within the realm of e-sport prediction. The data used for this thesis is publicly available data was recorded over a three year period. LÄS MER
12. Politik i simplexrummet
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : In this thesis we discuss a potential problem of negative correlation arising when using ordinary statistical methods on compositional data. We discuss a less known statistical method, compositional data analysis, that stands on the pillars of the works of John Aitchison from the 1980-s and Pawlowsky-Glahn, Egozcue and Delgado from the 2015. LÄS MER
13. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : As the amount of high dimensional data becomes increasingly accessible and common, the need for reliable methods to combat problems such as overfitting and multicollinearity increases. Models need to be able to manage large data sets where predictor variables often outnumber the amount of observations. LÄS MER
14. Ungas läsning. En logistisk regressionsanalys av hur socioekonomi och födelseland påverkar läsningen bland unga
Kandidat-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : Previous reports and studies have found that gender, socioeconomic status, migration background and education are important factors in explaining reading amongst young people. A previous report from the Swedish Agency for Youth and Civil Society indicate that there are differences in reading depending on gender and birth country using confidence intervals. LÄS MER
15. Leveraging Large Language Models for Firm-Intelligence: A RAG Framework Approach
Magister-uppsats, Lunds universitet/Statistiska institutionenSammanfattning : In the wake of OpenAI's release of ChatGPT in November 2022, powered by the 175 billion parameter neural network GPT-3, the potential applications of Large Language Models (LLMs) in various sectors have become evident. One such application lies in hedge funds and trading desks where knowledge sharing is paramount. LÄS MER
