Statistics (Scholarly Publications): Recent submissions
Now showing items 61-80 of 91
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Rate of familial amyotrophic lateral sclerosis: a systematic review and meta-analysis.
(2011)Background The population rate of familial amyotrophic lateral sclerosis (FALS) is frequently reported as 10%. However, a systematic review and meta-analysis of the true population based frequency of FALS has never been ... -
Workshop on Machine Learning Techniques for Processing Multimedia Content
(2005)Machine Learning (ML) techniques are used in situations where data is available in electronic format and ML algorithms can ?add value? by analysing this data. This is the situation with the processing of multimedia ... -
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 ... -
Modeling and adapting production environmental stress testing
(2009)This study describes the production sampling environmental stress test (PSEST) process and the offline analysis conducted. Some of the key characteristics and parameters of the test are outlined. The analytical process ... -
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 ... -
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 ... -
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 ... -
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. ... -
Facing extinction? Why men are not attracted to primary teaching
(The Liffey Press, 2006) -
Decision-theoretic approaches to display strategies in content based image retrieval
(2004)In this report we continue development of a Bayesian CBIR system by considering the issue of an image display strategy. This is a decision problem and so within the Bayesian paradigm is to be solved by decision theory. ... -
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 ... -
A Bayesian method for automatic landmark detection in segmented images
(2005)The identification of landmark points of a figure in an image plays an important role in many statistical shape analysis techniques. In certain contexts, manual landmark detection is an impractical task and an ... -
Improving CBIR by modelling the search process: a Bayesian approach
(2006)In this paper we look at a simple image retrieval with relevance feedback scenario where we model simple properties of the search process. A content-based image retrieval method based on Bayesian inference is proposed ... -
A fast Bayesian model for a latent radio signal
(2009)Abstract?This paper considers the use of a recently developed Bayesian statistical approximation technique that leads to very fast determination of highly accurate estimates for latent radio signal power. Following ... -
FPGA implementation of an Image Segmentation algorithm using logarithmic arithmetic
(IEEE, 2005)Image Segmentation is a process used in Computer Vision to automatically divide up an image. We investigate the suitability of FPGAs and Log Arithmetic for Image Processing. We implemented a Bayesian pixel-based ... -
Double Markov random fields and Bayesian image segmentation
(IEEE, 2002)Markov random fields are used extensively in modelbased approaches to image segmentation and, under the Bayesian paradigm, are implemented through Markov chain Monte Carlo (MCMC) methods. In this paper,we describe a ... -
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 ... -
Image segmentation using the double Markov random field, with application to land use estimation
(IEEE, 2001)We describe the double Markov random field, a natural hierarchical model for a Bayesian approach to model-based textured image segmentation. The model is difficult to implement, even using Markov chain Monte Carlo (MCMC) ... -
Estimation of asymmetry in physics
(IEEE, 1996)The notion of asymmetry arises in many physical experiments, being a natural expression of the relative difference between two quantities. In this paper, we discuss the estimation of asymmetries between the rates of two ... -
Parameter estimation for a model with both imperfect test and repair
(IEEE, 2007)We describe estimation of the parameters of a manufacturing test and repair model using data available from that test. The model allows imperfect testing and imperfect repair. The principal problem that we address is ...
