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Now showing items 1-20 of 139
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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 ... -
Adaptive utility and trial aversion
(Elsevier, 2011)Decision making with adaptive utility provides a generalisation to classical Bayesian decision theory, allowing the creation of a normative theory for decision selection when preferences are initially uncertain. In this ... -
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 Ameliorated Improvement Factor Model for Imperfect Maintenance and Its Goodness of Fit
(2017)Maintenance actions can be classified, according to their efficiency, into three categories: perfect maintenance, imperfect maintenance, and minimal maintenance. To date, the literature on imperfect maintenance is voluminous, ... -
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 ... -
Automatic Discovery and Geotagging of Objects from Street View Imagery
(2018)Many applications, such as autonomous navigation, urban planning, and asset monitoring, rely on the availability of accurate information about objects and their geolocations. In this paper, we propose the automatic detection ... -
A Bayesian approach to modeling mortgage default and prepayment
(2019)In this paper we present a Bayesian competing risk proportional hazards model to describe mortgage defaults and prepayments. We develop Bayesian inference for the model using Markov chain Monte Carlo methods. Implementation ... -
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 Calibration of a Natural History Model with Application to a Population Model for Colorectal Cancer
(2011)Background. Cancer natural history models are essential when evaluating screening/preventative interventions or changes to diagnostic pathways. Natural history models commonly use a state transition structure, but it is ... -
Bayesian factor analysis using Gaussian mixture sources, with applicatin to separation of the cosmic microwave background
(2010)In this paper a fully Bayesian factor analysis model is developed that assumes a very general model for each factor, namely the Gaussian mixture. We discuss the cases where factors are both independent and dependent. ... -
Bayesian inference for double Pareto lognormal queues
(2010)In this article we describe a method for carrying out Bayesian inference for the double Pareto lognormal (dPlN) distribution which has recently been proposed as a model for heavy-tailed phenomena. We apply our approach ... -
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 reliability of systems and networks using the survival signature
(2014)The concept of survival signature has recently been introduced as an alternative to the signature for reliability quantifcation of systems. While these two concepts are closely related for systems consisting of a single ... -
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 kernel projections for classification of high dimensional data
(2011)A Bayesian multi-category kernel classification method is proposed. The algorithm performs the classification of the projections of the data to the principal axes of the feature space. The advantage of this approach is ...
