Browsing Statistics (Theses and Dissertations) by Title
Now showing items 1-20 of 48
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3D object reconstruction using multiple views
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011)3D object modelling from multiple view images has recently been of increasing interest in computer vision. Two techniques, Visual Hull and Photo Hull, have been extensively studied in the hope of developing 3D shape ... -
A diagnostic for the general linear model : an application to Time Series
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2002)An outlier is an observation which is thought to be unusual. The detection of such extreme values is an important issue. Developing a model based on data containing even a single outlier can seriously bias population ... -
A new method to implement Bayesian inference on stochastic differential equation models
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2011)Stochastic differential equations (SDEs) are widely used to model numerous real-life phenomena. However, transition densities of most of the SDE models used in practice are not known, making both likelihood based and ... -
A risk assessment tool for highly energetic break-up events during the atmospheric re-entry
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2017)Most unmanned space missions end up with a destructive atmospheric re-entry. From ten to forty percent of a re-entering satellite’s mass may survive re-entry and hit the Earth’s surface. This has the potential to be a ... -
Advances in Bayesian model development and inversion in multivariate inverse inference problems : with application to palaeoclimate reconstruction
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2012)An extremely challenging example of a multivariate inverse inference problem is the statistical reconstruction of palaeoclimate from fossil pollen data, which represents the motivating research problem considered in this ... -
An exploratory study of gender segregation in investment management in Ireland
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2013)Despite the entry of women in recent years, Investment Management remains a male domain. The absence of women is most notable in the fund management suite and on the trading floor (the most lucrative sub sectors of the ... -
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 ... -
Bayesian approaches to content-based image retrieval
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2006)This thesis addresses some issues in the relatively new field of Content-Based Image Retrieval. Content-based image retrieval is a technique that uses the visual content of images to aid searches from large scale image ... -
Bayesian inference for misaligned irregular time series with application to palaeoclimate reconstruction
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2015)This thesis proposes new Bayesian methods to jointly analyse misaligned irregular time series. Temporal misalignment occurs wdien multiple irregularly spaced time series are considered together, or when the time periods ... -
Bayesian inference for short term traffic forecasting
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2013)In intelligent transport systems, short term traffic forecasting is one of the most important problems, reflecting the network state in the near future and feeding information to other application modules. Even though ... -
Bayesian kernel classification for high dimensional data with variable selection
(Trinity College (Dublin, Ireland). School of Computer Science & Statistics, 2009)High dimensional data sets, where the dimension of the measurements exceeds the number of samples, arise in many application domains. In particular, the development of genomic and proteomic technologies in the last decade ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ...
