Avancerad sökning

Visar resultat 1 - 5 av 78 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Regularization Methods and High Dimensional Data: A Comparative Study Based on Frequentist and Bayesian Methods

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Markus Gerholm; Johan Sörstadius; [2024]
    Nyckelord :Linear regression; high dimensional data; regularization; Bayesian methods; Mathematics and Statistics;

    Sammanfattning : 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

  3. 2. Machine Learning Prediction of Enzymes’ Optimal Catalytic Temperatures

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Camille Finlinson Porter; [2023-03-22]
    Nyckelord :enzyme; protein; amino acid; protein structure; optimal catalytic temperature;

    Sammanfattning : Enzymes that have been genetically engineered to withstand high temperatures are used by industry to make products with less waste and pollution. Different features of protein structure affect the optimal catalytic temperature ("topt") at which enzymes catalyze reactions most efficiently. LÄS MER

  4. 3. Evaluating a LSTM model for bankruptcy prediction with feature selection

    Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Emma Carlsson; [2023]
    Nyckelord :Feature selection; Bankruptcy prediction; Neural networks; LSTM; Chi-squared; t-test; Stepwise regression; Lasso regression; Random forest;

    Sammanfattning : Bankruptcy prediction is an important research topic. The cost of incorrect decision making in companies and financial institutions can be great and could affect large parts of society. But while it is indeed a major research area, there are few studies which consider the effects of feature selection. LÄS MER

  5. 4. Hållbarhetsbetyget ESG - är spelreglerna desamma för alla?

    Kandidat-uppsats, Lunds universitet/Statistiska institutionen

    Författare :Oscar Båth Viderström; Victor Feilberg; [2023]
    Nyckelord :ESG; Regression; Lasso; Lund University; Data visualization; Business and Economics; Mathematics and Statistics;

    Sammanfattning : The growing expansion of importance amid financial stakeholders regarding sustainability has led to an extended demand and need of reliable reporting amongst sustainability metrics. Previous research and information about ESG reporting and how ESG ratings are calculated are flawed. LÄS MER

  7. 5. Modeling German Energy Market Hourly Profiles with a Focus on Variable Renewable Energy

    Magister-uppsats, Lunds universitet/Nationalekonomiska institutionen; Lunds universitet/Statistiska institutionen

    Författare :Vincent Ball; Thomas Pegoraro; [2023]
    Nyckelord :Energy Market; Energy Prices; Renewable Energy; Machine Learning; Business and Economics;

    Sammanfattning : This paper investigates the best methods for modeling hourly profiles in the German energy market for the period between 2018 and 2022. Modeling emphasized variable renewable energy (VRE) and included information on the level of energy production, oil price, COVID lockdowns, and historic hourly energy spot prices. LÄS MER