Statistics: Recent submissions
Now showing items 101-120 of 139
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Considerations on the UK re-arrest hazard rate analysis
(2011)The offence risk posed by individuals who are arrested, but where subsequently no charge or cau- tion is administered, has been used as an argument for justifying the retention of such individuals? DNA and identification ... -
Dependent Gaussian mixture models for source separation
(2012)Source separation is a common task in signal processing and is often analogous to factor analysis. In this study, we look at a factor analysis model for source separation of multi-spectral image data where prior information ... -
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 ... -
Estimating production test properties from test measurement data
(2011)A complex sequence of tests on components and the system is a part of many manufacturing processes. Statistical imperfect test and repair models can be used to derive the properties of such test sequences but require model ... -
Nonparametric Predictive Utility Inference
(2012)We consider the natural combination of two strands of recent statistical research, i.e., that of decision making with uncertain utility and that of Nonparametric Predictive Inference (NPI). In doing so we present the idea ... -
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 ... -
Calibration of cosmogenic 36Cl production rates from Ca and K spallation in lava flows from Mt. Etna (38?N, Italy) and Payun Matru (36?S, Argentina)
(2011)Published cosmogenic 36Cl production rates from Ca and K spallation differ by almost a factor of 2. In this paper we determine production rates of 36Cl from Ca and K in samples of known age containing little Cl. Ca-rich ... -
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 ... -
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 ...