Statistics (Theses and Dissertations): Recent submissions
Now showing items 21-40 of 48
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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 ... -
Spatial modelling of damage accumulation in bone cement
(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 ... -
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 ... -
Univariate time series modelling and forecasting using TSMARS
(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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
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 ... -
Variational Bayes approximation for inverse regression problems
(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 ... -
Statistical models for food authenticity
(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 ... -
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 ... -
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 ... -
Utilisation of electronic fare collection data of urban bus operators with regard to transfer journeys and origin / destination estimation
(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. ... -
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 ... -
Visual attention using 2D & 3D displays
(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 ... -
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 ... -
Statistical framework for multi sensor fusion and 3D reconstruction
(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 ...
