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Complex model calibration through emulation, a worked example for a stochastic epidemic model.
Dunne, Michael; Mohammadi, Hossein; Challenor, Peter; Borgo, Rita; Porphyre, Thibaud; Vernon, Ian; Firat, Elif E; Turkay, Cagatay; Torsney-Weir, Thomas; Goldstein, Michael; Reeve, Richard; Fang, Hui; Swallow, Ben.
Affiliation
  • Dunne M; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK.
  • Mohammadi H; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK.
  • Challenor P; College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK.
  • Borgo R; Department of Informatics, King's College London, London, UK.
  • Porphyre T; Laboratoire de Biométrie et Biologie Evolutive, VetAgro Sup, Marcy l'Etoile, France.
  • Vernon I; Department of Mathematical Sciences, Durham University, Durham, UK.
  • Firat EE; Department of Computer Science, University of Nottingham, Nottingham, UK.
  • Turkay C; Centre for Interdisciplinary Methodologies, University of Warwick, Coventry, UK.
  • Torsney-Weir T; VRVis Zentrum für Virtual Reality und Visualisierung Forschungs-GmbH, Vienna, Austria.
  • Goldstein M; Department of Mathematical Sciences, Durham University, Durham, UK.
  • Reeve R; Boyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, UK.
  • Fang H; Department of Computer Science, Loughborough University, Loughborough, UK.
  • Swallow B; School of Mathematics and Statistics, University of Glasgow, Glasgow, UK. Electronic address: ben.swallow@glasgow.ac.uk.
Epidemics ; 39: 100574, 2022 06.
Article in En | MEDLINE | ID: mdl-35617882

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Epidemics Year: 2022 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Epidemics / COVID-19 Type of study: Prognostic_studies Limits: Humans Language: En Journal: Epidemics Year: 2022 Document type: Article Affiliation country: Country of publication: