Browsing Statistics by Sponsor "Science Foundation Ireland (SFI)"
Now showing items 1-20 of 23
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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 ... -
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 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 Tree Regression within a Streaming Context
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2023)Regression in a statistical streaming environment. Explore either large amounts of data or data that is continually being generated in a meaningful way. The streaming setting is challenging because either the proportion ... -
Challenges and Adaptations of Model-Based Clustering for Flow and Mass Cytometry
(2025)Model-based clustering is a statistical approach to cluster analysis, which has been successfully deployed in a number of domains due to its principled framework, clear assumptions, and adaptability. For these reasons, ... -
A Clustering Framework for Functional Data: Functional Gaussian Process Mixture Model (FunGP)
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2024)Functional data analysis (FDA) is a rapidly evolving field that focuses on the analysis and interpretation of data where each observation is a function, typically represented by curves or surfaces over a continuum such as ... -
Considerations on the UK Re-Arrest Hazard Data Analysis (How Model Selection Can Alter Conclusions for Policy Development)
(2011)The offence risk posed by individuals who are arrested, but where subsequently no charge or caution is administered, has been used as an argument for justifying the retention of such individuals? DNA and identification ... -
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 ... -
Design and Analysis of Biodiversity Experiments
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2025)Biodiversity and ecosystem functioning (BEF) relationships define the ways in which the diversity of species in an ecosystem drive the quantity and quality of the goods and services provided. Species diversity may be defined ... -
Distributed Lag Regression Methods and Compartmental Models for Analysis of Disease Progression
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2023)ANCA vasculitis is an autoimmune disease characterised by relapses, or flares, that can have a severe detrimental impact on patient health. Flares can be prevented by suppressing the immune system but this exposes 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 ... -
Estimating redshift distributions using Hierarchical Logistic Gaussian processes
(2019)This work uses hierarchical logistic Gaussian processes to infer true redshift distributions of samples of galaxies, through their cross-correlations with spatially overlapping spectroscopic samples. We demonstrate that ... -
The magnitude of global marine species diversity
(2012)Background The question of how many marine species exist is important because it provides a metric for how much we do and do not know about life in the oceans. We have compiled the first register of the marine species ... -
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 ... -
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 ... -
Predicting the number of known and unknown species in European seas using rates of description
(2011)Aim? In this paper, we compare species description rates to predict the numbers of undescribed species. These data are used to discuss the merits of various attempts to estimate species richness in the oceans. Location? ... -
Predicting total global species richness using rates of species description and estimates of taxonomic effort
(2012)We found that trends in the rate of description of 580,000 marine and terrestrial species, in the taxonomically authoritative World Register of Marine Species and Catalogue of Life databases, were similar until the 1950s. ... -
A probability model of system downtime with implications for optimal warranty design
(2009)Traditional approaches to modeling the availability of a system often do not formally take into account uncertainty over the parameter values of the model. Such models are then frequently criticised because the ... -
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 ...
