Sökning: "Fabian Söderdahl"

Hittade 3 uppsatser innehållade orden Fabian Söderdahl.

  1. 1. A Cross-Validation Approach to Knowledge Transfer for SVM Models in the Learning Using Privileged Information Paradigm

    Master-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Fabian Söderdahl; [2019]
    Nyckelord :Support Vector Machines; Learning Using Privileged Information; Knowledge Transfer; Robust Knowledge Transfer;

    Sammanfattning : The learning using privileged information paradigm has allowed support vector machine models to incorporate privileged information, variables available in the training set but not in the test set, to improve predictive ability. The consequent introduction of the knowledge transfer method has enabled a practical application of support vector machine models utilizing privileged information. LÄS MER

  3. 2. Measuring the causal effect of air temperature on violent crime

    Kandidat-uppsats, Uppsala universitet/Statistiska institutionen

    Författare :Fabian Söderdahl; Karl Hammarström; [2015]
    Nyckelord :Causal inference; propensity score; inverse probability weighing; generalized estimating equations;

    Sammanfattning : This thesis aimed to apply the causal framework with potential outcomes to examine the causal effect of air temperature on reported violent crimes in Swedish municipalities. The Generalized Estimating Equations method was used on yearly, monthly and also July only data for the time period 2002-2014. LÄS MER

  4. 3. Adjusting for earnings volatility in earnings forecast models

    Kandidat-uppsats, Uppsala universitet/Företagsekonomiska institutionen

    Författare :Fabian Söderdahl; Sandy Samour; [2014]
    Nyckelord :Earnings volatility; earnings forecast model; cross-sectional model; forecasting; earnings prediction;

    Sammanfattning : Previous research provides evidence for the negative relation between earnings volatility and earnings forecasting. This paper examines if earnings forecast models can adjust for firms’ earnings volatility and improves the forecasts by choosing a specific estimation method and a specific forecast model. LÄS MER