Browsing Statistics (Scholarly Publications) by Title
Now showing items 68-87 of 88
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Reliability assessment from fatigue micro-crack data
(IEEE, 1997)Summary & Conclusions -Micro-cracks are generally defined to be cracks less than 1 nun in length, which propagate under cyclic stresses until they grow large and cause failure in an item (eg, component or structure). This ... -
Saddlepoint Approximation for the Generalized Inverse Gaussian Levy Process
(2022)The generalized inverse Gaussian (GIG) Lévy process is a limit of compound Poisson processes, including the stationary gamma process and the stationary inverse Gaussian process as special cases. However, fitting the GIG ... -
Semantic image segmentation based on spatial relationships and inexact graph matching
(2020)We propose a method for semantic image segmentation, combining a deep neural network and spatial relationships between image regions, encoded in a graph representation of the scene. Our proposal is based on inexact graph ... -
Short-term traffic flow forecasting with A-SVARMA
(2013)Short-term Traffic Flow Forecasting (STFF), the process of predicting future traffic conditions based on historical and real-time observations, is an essential aspect of Intelligent Transportation Systems (ITS). The existing ... -
A split Poisson process model for the occurrence of defects and change requests during user acceptance testing
(Trinity College Dublin, 2005)Software developed for a specific customer under contract typically undergoes a period of testing by the customer before acceptance. This is known as user acceptance testing and the process can reveal both defects in ... -
Squaring the Circle? Work and Family Issues among Owners of Small Business
(ISBE, 2010-11)This paper addresses the largely under-researched theme of how entrepreneurs in Ireland manage their business lives in parallel with their family commitments, with specific reference to dependent children. Since the ... -
Statistical Hough Transform
(IEEE, 2009)The Standard Hough Transform is a popular method in image processing and is traditionally estimated using histograms. Densities modelled with histograms in high dimensional space and/or with few observations, can be very ... -
A Stochastic EM Algorithm for Progressively Censored Data Analysis
(2014)Progressive censoring technique is useful in lifetime data analysis. Simple approaches to progressive data analysis are crucial for its widespread adoption by reliability engineers. This study develops an efficient yet ... -
Struggling with juggling: gender and work/life balance in the legal professions
(Elsevier, 2006)Since the 1960s, women have begun emerging into the public sphere and the public/private divide has been eroding. However, women's participation in the public sphere remains limited by the ongoing need to do two jobs (`the ... -
A Theoretical Analysis of Density Peaks Clustering and the Component-wise Peak-Finding Algorithm
(2024)Density peaks clustering detects modes as points with high density and large distance to points of higher density. Each non-mode point is assigned to the same cluster as its nearest neighbor of higher density. Density ... -
Trinity College Dublin Drone Survey Dataset
(School of Computer Science & Statistics, Trinity College DublinTrinity College Dublin, 2017)The dataset consists of 6 Zipped files and a Technical Report detailing the project. The original images from the drone survey are contained in the files names Images 1, Images 2, Images 3 and Images 4. The 3D mesh model ... -
The use of Bayesian statistics to predict patterns of spatial repeatability
(Elsevier, 2006)Statistical spatial repeatability (SSR) is an extension to the well known concept of spatial repeatability. SSR states that the mean of many patterns of dynamic tyre force applied to a pavement surface is similar for a ... -
Using resource modelling to inform decision making and service planning: The case of colorectal cancer screening in Ireland
(2013)Background Organised colorectal cancer screening is likely to be cost-effective, but cost-effectiveness results alone may not help policy makers to make decisions about programme feasibility or service providers to plan ... -
Using Storm for scaleable sequential statistical inference
(2014)This article describes Storm, an environment for doing streaming data analysis. Two examples of sequential data analysis | computation of a running summary statistic and sequential updating of a posterior distribution | ... -
The variational Bayes method for inverse regression problems with an application to the palaeoclimate reconstruction
(2010)The palaeoclimate reconstruction problem is described as an example of inverse regression problems. In the reconstruction problem, past climate is inferred using pollen data. Modern data is used to build a regression ... -
Vine Copula Approximation: A Generic Method for Coping with Conditional Dependence
(2018)Pair-copula constructions (or vine copulas) are structured, in the layout of vines, with bivariate copulas and conditional bivariate copulas. The main contribution of the current work is an approach to the long-standing ... -
Weighted Clustering Ensemble: A Review
(2022)Clustering ensemble has emerged as a powerful tool for improving both the robustness and the stability of results from individual clustering methods. Weighted clustering ensemble arises naturally from clustering ensemble. ... -
Who's Minding the Kids? Work and Family Issues among Owners of Small Business Enterprises in Ireland
(Edward Elgar, 2011)This chapter addresses the largely under-researched theme of how entrepreneurs in Ireland manage their business lives in parallel with their family commitments, with specific reference to dependent children. Since ... -
Women in science and technology employment
(Goodbody, 2001)Ireland continues to experience the fastest growth in GNP within the European Union, with average GNP increases of almost 8 per cent per annum over the period of the late 1990's. This has led to buoyancy in the Irish ...