Browsing College of Engineering, Mathematics and Physical Sciences by Title
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Bayesian detection of planetary transits. A modified version of the GregoryLoredo method for Bayesian periodic signal detection
(EDP Sciences, 2002)The detection of planetary transits in stellar photometric lightcurves is poised to become the main method for finding substantial numbers of terrestrial planets. The FrenchEuropean mission COROT (foreseen for launch in ... 
Bayesian estimation and classification with incomplete data using mixture models
(IEEE, 2004)Reasoning from data in practical problems is frequently hampered by missing observations. Mixture models provide a powerful general semiparametric method for modelling densities and have close links to radial basis function ... 
A Bayesian Framework for Active Learning
(Institute of Electrical and Electronics Engineers (IEEE), 2010)We describe a Bayesian framework for active learning for nonseparable data, which incorporates a query density to explicitly model how new data is to be sampled. The model makes no assumption of independence between queried ... 
A Bayesian framework for verification and recalibration of ensemble forecasts: How uncertain is NAO predictability?
(arXiv.org, 20150408)Predictability estimates of ensemble prediction systems are uncertain due to limited numbers of past forecasts and observations. To account for such uncertainty, this paper proposes a Bayesian inferential framework that ... 
Bayesian history matching of complex infectious disease models using emulation: a tutorial and a case study on HIV in Uganda
(Public Library of Science, 201501)Advances in scientific computing have allowed the development of complex models that are being routinely applied to problems in disease epidemiology, public health and decision making. The utility of these models depends ... 
Bayesian inductively learned modules for safety critical systems
(Interface Foundation of North America, Inc., 2003)This work examines the use of Bayesian inductively learned software modules for safety critical systems. Central to the safety critical application is the desire to generate confidence measures associated with predictions. ... 
Bayesian matching for Xray and infrared sources in the MYStIX project
(American Astronomical Society, 20131114)Identifying the infrared counterparts of Xray sources in Galactic plane fields such as those of the MYStIX project presents particular difficulties due to the high density of infrared sources. This high stellar density ... 
A Bayesian methodology for estimating uncertainty of decisions in safetycritical systems
(IOS Press, 2006)Uncertainty of decisions in safetycritical engineering applications can be estimated on the basis of the Bayesian Markov Chain Monte Carlo (MCMC) technique of averaging over decision models. The use of decision tree (DT) ... 
Bayesian model choice in cumulative link ordinal regression models
(International Society for Bayesian Analysis (ISBA), 20150128)The use of the proportional odds (PO) model for ordinal regression is ubiquitous in the literature. If the assumption of parallel lines does not hold for the data, then an alternative is to specify a nonproportional odds ... 
Bayesian operational modal analysis of Jiangyin Yangtze River Bridge
(Elsevier, 20180330)Vibration testing of long span bridges is becoming a commissioning requirement, yet such exercises represent the extreme of experimental capability, with challenges for instrumentation (due to frequency range, resolution ... 
Bayesian Spectral Analysis with Studentt Noise
(Institute of Electrical and Electronics Engineers (IEEE), 20140601)We introduce a Bayesian spectral analysis model for onedimensional signals where the observation noise is assumed to be Studentt distributed, for robustness to outliers, and we estimate the posterior distributions of the ... 
Bayesian unsupervised learning with multiple data types
(Walter de Gruyter, 2009)We propose Bayesian generative models for unsupervised learning with two types of data and an assumed dependency of one type of data on the other. We consider two algorithmic ap proaches, based on a correspondence model ... 
A Bayesian Updating Framework for Simulating Marine Energy Converter Drive Train Reliability
(Marine Energy Technology Symposium (METS), 20170503)INTRODUCTION: Accurately quantifying and assessing the reliability of Marine Energy Converters (MEC’s) is critical for the successful commercialization of the industry. Without improvements in reliability and hence reductions ... 
BeatBox  HPC Simulation Environment for Biophysically and Anatomically Realistic Cardiac Electrophysiology
(arXiv.org, 2017)The BeatBox simulation environment combines flexible script language user interface with the robust computational tools, in order to setup cardiac electrophysiology insilico experiments without recoding at lowlevel, so ... 
Behavioral realizations using companion matrices and the smith form
(Society for Industrial and Applied Mathematics, 20160101)Classical procedures for the realization of transfer functions are unable to represent uncontrollable behaviors. In this paper, we use companion matrices and the Smith form to derive explicit observable realizations for a ... 
A BEMT model for a high solidity, hubless and ducted tidal stream turbine
(Tidal Energy Research Group, 201603)A Blade Element Momentum Theory (BEMT) model for ‘conventional’ 3 bladed designs of Tidal Stream Turbine (TST) is presented, with validations from scale model experiments carried out in a cavitation tunnel. Assumptions and ... 
Benchmark problems for continuum radiative transfer. High optical depths, anisotropic scattering, and polarisation
(EDP Sciences for European Southern Observatory (ESO), 20090311)Aims. Solving the continuum radiative transfer equation in high opacity media requires sophisticated numerical tools. In order to test the reliability of such tools, we present a benchmark of radiative transfer codes in a ... 
Benchmarking and developing numerical Finite Element models of volcanic deformation
(Elsevier, 201406)Volcanic deformation during an unrest episode can provide valuable insights into potential magmatic plumbing system dynamics. Paramount to this is a model linking the recorded ground movement to the causative source ... 
Benchmarking energy consumption and CO2 emissions from rainwater harvesting systems: an improved method by proxy
(IWA (International Water Association), 2010)Life cycle analyses (LCAs) show the main operational energy contribution for rainwaterharvesting (RWH) systems come from ultraviolet (UV) disinfection and pumping rainwater from tank to building. Simple methods of estimating ...