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History matching of a complex epidemiological model of human immunodeficiency virus transmission by using variance emulation

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  • I. Andrianakis
  • I. Vernon
  • N. McCreesh
  • T. J. McKinley
  • J. E. Oakley
  • R. N. Nsubuga
  • M. Goldstein
  • R. G. White

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Suggested Citation

  • I. Andrianakis & I. Vernon & N. McCreesh & T. J. McKinley & J. E. Oakley & R. N. Nsubuga & M. Goldstein & R. G. White, 2017. "History matching of a complex epidemiological model of human immunodeficiency virus transmission by using variance emulation," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 66(4), pages 717-740, August.
    • Handle: RePEc:bla:jorssc:v:66:y:2017:i:4:p:717-740
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    File URL: http://hdl.handle.net/10.1111/rssc.12198
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    References listed on IDEAS

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    1. McKinley Trevelyan & Cook Alex R & Deardon Robert, 2009. "Inference in Epidemic Models without Likelihoods," The International Journal of Biostatistics, De Gruyter, vol. 5(1), pages 1-40, July.
    2. Bruce Ankenman & Barry L. Nelson & Jeremy Staum, 2010. "Stochastic Kriging for Simulation Metamodeling," Operations Research, INFORMS, vol. 58(2), pages 371-382, April.
    3. Henderson, Daniel A. & Boys, Richard J. & Krishnan, Kim J. & Lawless, Conor & Wilkinson, Darren J., 2009. "Bayesian Emulation and Calibration of a Stochastic Computer Model of Mitochondrial DNA Deletions in Substantia Nigra Neurons," Journal of the American Statistical Association, American Statistical Association, vol. 104(485), pages 76-87.
    4. Christophe Andrieu & Arnaud Doucet & Roman Holenstein, 2010. "Particle Markov chain Monte Carlo methods," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 72(3), pages 269-342, June.
    5. Marc C. Kennedy & Anthony O'Hagan, 2001. "Bayesian calibration of computer models," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 63(3), pages 425-464.
    6. Boukouvalas, A. & Cornford, D. & Stehlík, M., 2014. "Optimal design for correlated processes with input-dependent noise," Computational Statistics & Data Analysis, Elsevier, vol. 71(C), pages 1088-1102.
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    Cited by:

    1. Jackson Samuel E. & Vernon Ian & Liu Junli & Lindsey Keith, 2020. "Understanding hormonal crosstalk in Arabidopsis root development via emulation and history matching," Statistical Applications in Genetics and Molecular Biology, De Gruyter, vol. 19(2), pages 1-33, April.
    2. Gyanendra Pokharel & Rob Deardon, 2022. "Emulation‐based inference for spatial infectious disease transmission models incorporating event time uncertainty," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 49(1), pages 455-479, March.
    3. Evan Baker & Peter Challenor & Matt Eames, 2021. "Future proofing a building design using history matching inspired level‐set techniques," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(2), pages 335-350, March.
    4. Christopher N Davis & T Deirdre Hollingsworth & Quentin Caudron & Michael A Irvine, 2020. "The use of mixture density networks in the emulation of complex epidemiological individual-based models," PLOS Computational Biology, Public Library of Science, vol. 16(3), pages 1-16, March.

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