Browsing Statistics (Theses and Dissertations) by Title
Now showing items 13-32 of 44
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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 ... -
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 ... -
Deletion diagnostics for the linear mixed model
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2006)Modeling data is an integral element of modern statistical analysis. Methodological developments combined with the explosion in computing power over the past ten to fifteen years have greatly enhanced statisticians' ability ... -
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 ... -
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 ... -
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 ... -
Fast approximate inverse Bayesian inference in non-parametric multivariate regression with application to palaeoclimate reconstruction
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2009)Bayesian statistical methods often involve computationally intensive inference procedures. Sampling algorithms represent the current standard for fitting and testing models. Such methods, while flexible, are computationally ... -
Fast sequential parameter inference for dynamic state space models
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012)Many problems in science require estimation and inference on systems that generate data over time. Such systems, quite common in statistical signal processing, time series analysis and econometrics, can be stated in a ... -
Female entrepreneurship : an exploratory study of women entrepreneurs in Ireland
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2007)This thesis consists of an exploratory study of female entrepreneurship in Ireland, focusing on the motivations, obstacles and work/life balance experiences of entrepreneurs. The research relies on a combination of ... -
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 ... -
The Impact of Performing a Network Meta-Analysis with Imperfect Evidence
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2019)Network meta-analysis (NMA) is an important aspect of evidence synthesis in a clinical setting, as it allows us to compare treatments which may not have been analysed in the same trial. In an ideal scenario we would have ... -
Importance resampling MCMC : a methodology for cross-validation in inverse problems and its applications in model assessment
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2005)This thesis presents a methodology for implementing cross-validation in the context of Bayesian modelling of situations we loosely refer to as 'inverse problems'. It is motivated by an example from palaeoclimatology in ... -
Improving exploration of posterior distributions in spatial models - a Markov chain Monte Carlo approach
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2006)A Markov chain Monte Carlo (MCMC) algorithm is proposed for the evaluation of a posterior distribution. The posterior distribution is from a model that has a spatial structure and exhibits many characterisics which are ... -
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 ... -
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, ... -
L_ Inference for shape parameter estimation
(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
(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
(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
(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
(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. ...
