Now showing items 259-278 of 3512

  • Bayesian history matching of complex infectious disease models using emulation: a tutorial and a case study on HIV in Uganda 

    Andrianakis, Ioannis; Vernon, Ian R.; McCreesh, Nicky; McKinley, Trevelyan J.; Oakley, Jeremy E.; Nsubuga, Rebecca N.; Goldstein, Michael; White, Richard G. (Public Library of Science, 2015-01)
    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 

    Fieldsend, Jonathan E.; Bailey, Trevor C.; Everson, Richard M.; Krzanowski, Wojtek J.; Partridge, Derek; Schetinin, Vitaly (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 X-ray and infrared sources in the MYStIX project 

    Naylor, T; Broos, PS; Feigelson, ED (American Astronomical Society, 2013-11-14)
    Identifying the infrared counterparts of X-ray 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 Safety-Critical Systems 

    Schetinin, Vitaly; Fieldsend, Jonathan E.; Partridge, Derek; Krzanowski, Wojtek J.; Bailey, Trevor C.; Everson, Richard M.; Hernandez, Adolfo (IOS Press, 2006)
  • A Bayesian methodology for estimating uncertainty of decisions in safety-critical systems 

    Schetinin, Vitaly; Fieldsend, Jonathan E.; Partridge, Derek; Krzanowski, Wojtek J.; Everson, Richard M.; Bailey, Trevor C.; Hernandez, Adolfo (IOS Press, 2006)
    Uncertainty of decisions in safety-critical 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 

    McKinley, Trevelyan J.; Morters, Michelle K.; Wood, James L. N. (International Society for Bayesian Analysis (ISBA), 2015-01-28)
    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 non-proportional odds ...
  • Bayesian Spectral Analysis with Student-t Noise 

    Christmas, JT (Institute of Electrical and Electronics Engineers (IEEE), 2014-06-01)
    We introduce a Bayesian spectral analysis model for one-dimensional signals where the observation noise is assumed to be Student-t distributed, for robustness to outliers, and we estimate the posterior distributions of the ...
  • Bayesian unsupervised learning with multiple data types 

    Agius, Phaedra; Ying, Yiming; Campbell, Colin (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 

    Ewing, FJ; Waldron, B; Thies, PR (Marine Energy Technology Symposium (METS), 2017-05-03)
    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 

    Antonioletti, M; Biktashev, VN; Jackson, A; Kharche, SR; Stary, T; Biktasheva, IV (arXiv.org, 2017)
    The BeatBox simulation environment combines flexible script language user interface with the robust computational tools, in order to setup cardiac electrophysiology in-silico experiments without re-coding at low-level, so ...
  • A BEMT model for a high solidity, hubless and ducted tidal stream turbine 

    Allsop, S; Peyrard, C; Thies, PR (Tidal Energy Research Group, 2016-03)
    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 ...
  • Benchmarking and developing numerical Finite Element models of volcanic deformation 

    Hickey, J; Gottsmann, J (Elsevier, 2014-06)
    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 

    Ward, Sarah; Butler, David; Memon, Fayyaz (IWA (International Water Association), 2010)
    Life cycle analyses (LCAs) show the main operational energy contribution for rainwater-harvesting (RWH) systems come from ultraviolet (UV) disinfection and pumping rainwater from tank to building. Simple methods of estimating ...
  • Benchmarking the Multi-dimensional Stellar Implicit Code MUSIC 

    Goffrey, T; Pratt, J; Viallet, M; Baraffe, I; Popov, MV; Walder, R; Folini, D; Geroux, C; Constantino, T (arXiv.org, 2016-10-31)
    We present the results of a numerical benchmark study for the MUlti-dimensional Stellar Implicit Code (MUSIC) based on widely applicable two- and three-dimensional compressible hydrodynamics problems relevant to stellar ...
  • The Benefits of Laser Scanning & 3D Modelling in Accident Investigation: In a Mining Context 

    Foster, P.J.; Jobling-Purser, J; Coggan, John; Eyre, Matthew (Maney on behalf of the Institute and The AusIMM, 2015-06-16)
    Accurate reconstruction of the facts and causes surrounding accidents is critical if the mining industry is to learn from incidents and prevent future events. Effective accident investigation and training are essential ...
  • Best practice report - installation procedures 

    Maisondieu, C; Johanning, L; Weller, S (MERIFIC, 2014-03)
    This report is a deliverable of MERiFIC Task 3. 6: ‘Installation Procedures’ and has been produced in a cross border collaboration between IFREMER and the University of Exeter. In this report different elements are ...
  • Best practice report – mooring of floating marine renewable energy devices 

    Weller, S; Johanning, L; Davies, P (MERIFIC, 2013-09)
    This report is a deliverable of MERiFIC Work Package 3: ‘Dynamic Behaviour of Marine Energy Devices’ involving the collaboration of IFREMER (Institut français de recherche pour l'exploitation de la mer) in France and the ...
  • Best practice report – operation and maintenance requirements 

    Weller, S; Maisondieu, C; Johanning, L; Weller, S (MERIFIC, 2014-01)
    This report is a deliverable of MERiFIC Work Package 3.6: ‘Operation and Maintenance requirements’ and has been produced as a cross border collaboration between IFREMER and the University of Exeter. The report provides ...
  • Best practices for post-processing ensemble climate forecasts, part I: selecting appropriate recalibration methods 

    Sansom, PG; Ferro, CAT; Stephenson, DB; Goddard, L; Mason, SJ (American Meteorological Society, 2016)
    This study describes a systematic approach to selecting optimal statistical recalibration methods and hindcast designs for producing reliable probability forecasts on seasonal-to-decadal time scales. A new recalibration ...
  • Beyond in-phase and anti-phase coordination in a model of joint action 

    Avitabile, D; Słowiński, P; Bardy, B; Tsaneva-Atanasova, K (Springer Verlag (Germany), 2016-06-08)
    In 1985, Haken, Kelso and Bunz proposed a system of coupled nonlinear oscillators as a model of rhythmic movement patterns in human bimanual coordination. Since then, the Haken–Kelso–Bunz (HKB) model has become a modelling ...