Sökning: "Causal machine learning"

Visar resultat 1 - 5 av 16 uppsatser innehållade orden Causal machine learning.

  1. 1. Estimating eco-friendly driving behavior in various traffic situations, using machine learning

    Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

    Författare :Ludvig Fors; [2023]
    Nyckelord :Machine learning; transformers; neural networks; casual inference; K-Means; driver behavior; fuel consumption;

    Sammanfattning : This thesis investigates how various driver signals, signals that a truck driver can interact with, influences fuel consumption and what are the optimal values of these signals in various traffic conditions. More specifically, the objective is to estimate good driver behavior in various traffic conditions and compare bad driver behavior in similar situations to see how performing a specific driver action, changing a driver signal from the bad driver value to the corresponding good driver value impacts the fuel consumption. LÄS MER

  3. 2. The Impact of Parental Education on the Early Detection of Autism Spectrum Disorder in Children.

    Master-uppsats, Lunds universitet/Nationalekonomiska institutionen

    Författare :Farahim Suleymanli; [2023]
    Nyckelord :ASD; DML; PLR; IRM; early detection; parental education; causal inference; Business and Economics;

    Sammanfattning : Utilizing the Double Machine Learning (DML) framework with both Partially Linear Regression (PLR) and Interactive Regression Models (IRM), this study examined the crucial role of parental education in the early detection of Autism Spectrum Disorder (ASD). Analysis was conducted on comprehensive data from the National Survey of Children's Health spanning the years 2017 to 2021. LÄS MER

  4. 3. A Causal Analysis of Cat Bond Markets

    D-uppsats, Handelshögskolan i Stockholm/Institutionen för finansiell ekonomi

    Författare :Tim Matheis; [2023]
    Nyckelord :Cat bonds; Insurance-linked securities; Causal machine learning; Random forests;

    Sammanfattning : This work is a contribution to the causal analysis of the catastrophe bond market, which has generated high excess returns over the last two decades. Since these excess returns remain partially unexplainable and the interest in catastrophe bonds is increasing, the causal study of the factors affecting their premiums is of high relevance. LÄS MER

  5. 4. Estimating the Impact of Website Changes on Conversion Rates

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

    Författare :Jan Jarco; [2023]
    Nyckelord :website design; causal inference; observational study; average treatment effects; double machine learning; Business and Economics;

    Sammanfattning : This study sought to evaluate the historical impact of changes to an ordering page of an online travel agency on its conversion rates. Data gathered from the website over a year, detailing aspects such as travel dates, prices, itineraries, number of passengers, travel time, and carriers, was analyzed. LÄS MER

  7. 5. Causal AI for Outlier Detection : Using causality to single out suspicious transactionsand identifying anomalies

    Kandidat-uppsats, Uppsala universitet/Institutionen för materialvetenskap

    Författare :Olle Virding; Love Leoson; [2023]
    Nyckelord :Causal AI; Anomaly Detection; Machine Learning;

    Sammanfattning : AbstractThe purpose of this thesis was to construct a program capable of detecting outliers, that is datapoints that do not follow trends that can be found within a dataset, by using Causal AI. Detectionof outliers has a very wide range of use since the term outliers can be adjusted to fit differenttypes of problems. LÄS MER