Now showing items 1-5 of 44

  • Statistical Methods to Extrapolate Time-To-Event Data 

    Cooney, Philip (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2024)
    This thesis investigates methods used to predict long-term survival of observations (typically survival times) beyond the time at which data follow-up is available. Current practice is to use parametric survival models; ...
  • Bayesian Tree Regression within a Streaming Context 

    Ferreira, Michael Antonio (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2023)
    Regression in a statistical streaming environment. Explore either large amounts of data or data that is continually being generated in a meaningful way. The streaming setting is challenging because either the proportion ...
  • Distributed Lag Regression Methods and Compartmental Models for Analysis of Disease Progression 

    Dempsey, Daniel (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2023)
    ANCA vasculitis is an autoimmune disease characterised by relapses, or flares, that can have a severe detrimental impact on patient health. Flares can be prevented by suppressing the immune system but this exposes the ...
  • Incorporating Ignorance within Game Theory: An Imprecise Probability Approach 

    Fares, Bernard (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2023)
    Ignorance within non-cooperative games, reflected as a player's uncertain preferences towards a game's outcome, is examined from a probabilistic point of view. This topic has had scarce treatment in the literature, which ...
  • Consistent Mode-Finding for Parametric and Non-Parametric Clustering 

    Tobin, Joshua (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2022)
    Density peaks clustering detects modes as points with high density and large distance to points of higher density. To cluster the observed samples, points are assigned to the same cluster as their nearest neighbor of higher ...