Recent Submissions

  • An Integrated Framework for Estimating the Number of Classes with Application for Species Estimation 

    Al-Ghamdi, Asmaa (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2021)
    The two most common approaches for estimating the number of distinct classes within a population are either to use sampling data directly with combinatorial arguments or to extrapolate historical discovery data. However, ...
  • Image Restoration Using Deep Learning 

    ALBLUWI, FATMA HAMED (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2020)
    In this thesis, we propose several convolutional neural network (CNN) architectures with fewer parameters compared to state-of-the-art deep structures to restore original images from degraded versions. Employing fewer ...
  • Matching-adjusted indirect comparisons: identifying method variations and implementing models in R 

    CASSIDY, OWEN CHRISTOPHER (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2020)
    In the framework of evidence-based medicine, comparative effectiveness research is a fundamental activity to the development of pharmaceutical products and medical treatments. For a given medical condition, several competing ...
  • Efficient and scalable inference for generalized student - T process models 

    ROETZER, GERNOT RUDOLF (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2020)
    Gaussian Processes are a popular, nonparametric modelling framework for solving a wide range of regression problems. However, they are suffering from 2 major shortcomings. On the one hand, they require efficient, approximate ...
  • Competing risks of default and prepayment of mortgage market 

    OLAJUBU, OLUWATOBILOBA JOHN JOHN (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2020)
    Using a large data set on the Single family home loans from The Federal Home Loan Mortgage Corporation (FHLMC), sponsored by the US government, this research studies the economic factors affecting the competing risks of ...

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