Sökning: "lasso regression"

Visar resultat 6 - 10 av 78 uppsatser innehållade orden lasso regression.

  1. 6. Capturing time variation within systemic risk estimation

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Christian Hovstadius; Baltsar Lindgren; [2023]
    Nyckelord :Systemic risk; CoVaR; State variables; Lasso; PCA; Business and Economics;

    Sammanfattning : Systemic risk can be defined as the risk to the whole financial system. Financial institutions may contribute more or less to this risk, and measuring the systemic risk contributions of institutions is of central importance for regulators. LÄS MER

  3. 7. Explainable Machine Learning in Cardiovascular Diagnostics

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Alexander Gutell; Ludvig Skare; [2023]
    Nyckelord :;

    Sammanfattning : The major challenges in implementing machine learning models in medical applications stemfrom ethical and accountability concerns, which arise from the lack of insight and understandingof the models' inner workings and reasoning. This opaqueness has resulted in the emergenceof a new subfield of machine learning called Explainability, which aims to develop and deploymethods to gain insight into how input data is weighted and propagated through a machinelearning algorithm. LÄS MER

  4. 8. MTG-kortsprissättning: en regressionsanalys för att bestämma nyckelfaktorer för kortpriser

    Kandidat-uppsats, KTH/Matematisk statistik

    Författare :Adam Michael; [2023]
    Nyckelord :Regression analysis; applied mathematics; MTG; Industrial engineering and management; Lasso regression; Least squares method; Regressionsanalys; Tillämpad matematik; MTG; Industriell Ekonomi; Lasso regression; Minstakvadratmetoden;

    Sammanfattning : Genom att analysera kortegenskaperna hos Magic the Gathering-kort harmodeller tagits fram för att bestämma deras inverkan på kortpriset. Tidigarestudier har inte fokuserat på spel-egenskaperna, vilket är vad som särskiljer dettaarbete från tidigare forskning. LÄS MER

  5. 9. Investigating the Impact of Air Pollution, Meteorology, and Human Mobility on Excess Deaths during COVID-19 in Quito : A Correlation, Regression, Machine Learning, and Granger Causality Analysis

    Master-uppsats, Högskolan Dalarna/Institutionen för information och teknik

    Författare :Waleed Tariq; Sehrish Naqvi; [2023]
    Nyckelord :Granger Causality; Gradient Boosting Machine; Lasso Regression; Excess Deaths; Correlation Analysis; Stationarity;

    Sammanfattning : Air pollution and meteorological conditions impact COVID-19 mortality rates. This research studied Quito, Ecuador, using Granger causality tests and regression models to investigate the relationship between pollutants, meteorological variables, human mobility, and excess deaths. LÄS MER

  7. 10. Forecasting airline revenue across markets with machine learning

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Stylianos Sidiropoulos; [2023]
    Nyckelord :;

    Sammanfattning : Sales forecasting is an important aspect of business strategy, as it helps companies make informed decisions for their business development. With the rise of machine learning and AI, companies are using statistical and machine learning models to forecast short-term and long-term sales more accurately. LÄS MER