Sökning: "LASSO"

Visar resultat 1 - 5 av 122 uppsatser innehållade ordet LASSO.

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. Navigating the Happiness Economics Landscape: Mapping the Influences on Life Satisfaction and Possible Interventions

   Master-uppsats, Göteborgs universitet/Graduate School

   Författare :Klendeta Bivolaku; Linn Hellqvist; [2023-06-29]
   Nyckelord :Happiness Economics; Personality traits; Life satisfaction; World Bank’s STEP survey; WVS; Double-lasso; Forward selection;

   Sammanfattning : This study explores factors that influence subjective well-being in low- and middle-income countries by analysing unique individual- and country-level data. The study focuses on several unexplored determinants including personality traits, economic shocks and cultural differences. LÄS MER

4. 3. 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

5. 4. Forecasting Swedish FCR-D Prices using Penalized Multivariate Time Series Techniques

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

   Författare :Franz Lennart Wunderlich; Sebastian Brugger; [2023]
   Nyckelord :Swedish Energy Market; Multivariate Time-Series; Lasso; Forecasting; Noise Filtering; Business and Economics;

   Sammanfattning : The Swedish energy market is becoming more and more sustainable, with an increasing volume and number of diversified energy sources being continuously added to the mix. To stabilize the grid frequency, auctions are held to offer energy providers incentives to produce or consume energy on short notice. LÄS MER

7. 5. 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