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Now showing items 24-39 of 39

  • L_ Inference for shape parameter estimation 

    Arellano Vidal, Claudia L. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2014)
    In this thesis, we propose a method to robustly estimate the parameters that controls the mapping of a shape (model shape) onto another (target shape). The shapes of interest are contours in the 2D space, surfaces in the ...
  • 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 ...
  • MCMC for inference on phase-type and masked system lifetime models 

    Aslett, Louis J.M. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012)
    Common reliability data consist of lifetimes (of censoring information) on all components and systems under examination. However, masked system lifetime data represents an important class of problems where the information ...
  • Modelling the distribution of grouped survival data via dependant neutral-to-the-right priors 

    DONAGHY, FEARGHAL (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2020)
    With each update of its browser, Firefox receives reports of the time of discovery of a large number of bugs associated with that update. This process yields survival data which is separated by update into groups and often ...
  • Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference 

    MCCOURT, ANGELA (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2019)
    The way in which we learn is the subject of considerable research within multiple disciplines. There is also a vast amount of on-line material available to us, causing decision-making to become increasingly difficult. ...
  • Reliability updating in linear opinion pooling for multiple decision makers 

    Bolger, Donnacha (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2016)
    Accurate information sources are vital prerequisites for good decision making. In this thesis we consider a multiple participant setting, where all decision makers (DMs) have a collection of neighbours with whom they share ...
  • Spatial modelling of damage accumulation in bone cement 

    Heron, Elizabeth A. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2005)
    In this thesis we develop spatial models for damage accumulation in the bone cement of hip replacement specimens. A total hip replacement consists of an artificial cup, forming the socket portion of the joint, and a ...
  • Statistical framework for multi sensor fusion and 3D reconstruction 

    Ruttle, Jonathan (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012)
    Multi-view 3D reconstruction is an area of computer vision where multiple images are taken of an object and information in those images is used to generate a 3D model describing the shape and size of that object. The ...
  • Statistical models for food authenticity 

    Toher, Deirdre Ann (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2009)
    The authentication of food samples pose a particular problem for regulators. The routine testing of premium food products, most likely to be subject to manipulation for commercial gain, is only feasible if the testing ...
  • The development of theory to assist the application of destination yield management 

    Mulvey, Michael F. (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2005)
    Destinations are geographical spaces where tourism experiences take place. They include the built and natural environm ent, attractions, the host community and commercial interests - predominantly SMEs. The role of ...
  • Topics in unsupervised learning 

    McNicholas, Paul David (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2007)
    Two topics in unsupervised learning are reviewed and developed; namely, model-based clustering and association rule mining. A new family of Gaussian mixture models, with a parsim onious covariance structure, is introduced. ...
  • Tracking the distribution of bugs across software release versions 

    Ó Ríordáin, Seán (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2015)
    Real software systems always contain bugs and the question on every release manager’s mind coming up to a release centres around how many undiscovered bugs there still remain. This work looks at one model, (Goel and ...
  • Univariate time series modelling and forecasting using TSMARS 

    Keogh, Gerard (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2006)
    This thesis studies threshold nonlinearity in time series using TSMARS, a time series extension of the Multivariate Adaptive Regression Splines (MARS) procedure of Friedman (1991a). MARS is model free and can detect and ...
  • Utilisation of electronic fare collection data of urban bus operators with regard to transfer journeys and origin / destination estimation 

    Hofmann, Markus (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2008)
    The understanding of an urban public transport network from an operational point of view and the understanding of passenger’s travel patterns become increasingly important due to the growing complexity of most networks. ...
  • Variational Bayes approximation for inverse regression problems 

    Vatsa, Richa (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011)
    Inverse regression is a tool to predict an unknown explanatory variable for given observations of a response variable in a regression problem. The prediction problem is usually carried out in two stages: firstly, to fit ...
  • Visual attention using 2D & 3D displays 

    Zdziarski, Zbigniew (Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2015)
    In the past three decades, robotists and computer vision scientists, inspired by psychological and neurophysiological studies, have developed many computational models of attentions (CMAs) that mimic the behaviour of the ...