RSS 1.0Statistics (Theses and Dissertations)
Recent Submissions
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Approximate Linear Solvers for Scalable Statistical Algorithms
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2025)Many statistical methods for large, multivariate datasets require solving linear systems whose dimensions are determined by either the number of observations or the size of individual data vectors. This often becomes a ... -
Theoretical developments of modelling techniques and novel visualisations for studying the biodiversity and ecosystem function relationship; and their application for calculating the economic value of biodiversity.
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2025)The biodiversity and ecosystem function (BEF) relationship studies how species diversity within an ecosystem affects the outputs (called ecosystem functions) the system produces. In recent decades, there has been great ... -
Design and Analysis of Biodiversity Experiments
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2025)Biodiversity and ecosystem functioning (BEF) relationships define the ways in which the diversity of species in an ecosystem drive the quantity and quality of the goods and services provided. Species diversity may be defined ... -
A Clustering Framework for Functional Data: Functional Gaussian Process Mixture Model (FunGP)
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2024)Functional data analysis (FDA) is a rapidly evolving field that focuses on the analysis and interpretation of data where each observation is a function, typically represented by curves or surfaces over a continuum such as ... -
Statistical Methods to Extrapolate Time-To-Event Data
(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
(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
(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
(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
(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 ... -
Effect of plant diversity and drought on the agronomic performance of intensively managed grassland communities
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2022)Temperate agro-ecosystems are crucial for food production and financially important for the rural economy, but can have strong environmental impacts and are threatened by increased frequency of extreme weather events. Over ... -
An Integrated Framework for Estimating the Number of Classes with Application for Species Estimation
(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
(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
(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
(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
(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 ... -
Modelling the distribution of grouped survival data via dependant neutral-to-the-right priors
(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 ... -
Bayesian modelling of short fatigue crack growth and coalescence
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2000)Failure of metal structures is caused by cracks appearing and growing in the material until the strength of the structure is compromised. The way in which such cracks grow in metal has been researched extensively; the great ... -
The development of theory to assist the application of destination yield management
(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 ... -
Modelling Uncertainty and Vagueness within Recommender Systems via Nonparametric Predictive Inference
(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. ... -
Topics in unsupervised learning
(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. ...
