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A Strategy for Bayesian Inference for Computationally Expensive Models with Application to the Estimation of Stem Cell Properties

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  • Antony M. Overstall
  • David C. Woods

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  • Antony M. Overstall & David C. Woods, 2013. "A Strategy for Bayesian Inference for Computationally Expensive Models with Application to the Estimation of Stem Cell Properties," Biometrics, The International Biometric Society, vol. 69(2), pages 458-468, June.
  • Handle: RePEc:bla:biomet:v:69:y:2013:i:2:p:458-468
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    File URL: http://hdl.handle.net/10.1111/biom.12017
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    References listed on IDEAS

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    1. Ying Yuan & Valen E. Johnson, 2012. "Goodness-of-Fit Diagnostics for Bayesian Hierarchical Models," Biometrics, The International Biometric Society, vol. 68(1), pages 156-164, March.
    2. Higdon, Dave & Gattiker, James & Williams, Brian & Rightley, Maria, 2008. "Computer Model Calibration Using High-Dimensional Output," Journal of the American Statistical Association, American Statistical Association, vol. 103, pages 570-583, June.
    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. 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.
    5. D. A. Henderson & R. J. Boys & D. J. Wilkinson, 2010. "Bayesian Calibration of a Stochastic Kinetic Computer Model Using Multiple Data Sources," Biometrics, The International Biometric Society, vol. 66(1), pages 249-256, March.
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    Cited by:

    1. Overstall, Antony M. & Woods, David C. & Martin, Kieran J., 2019. "Bayesian prediction for physical models with application to the optimization of the synthesis of pharmaceutical products using chemical kinetics," Computational Statistics & Data Analysis, Elsevier, vol. 132(C), pages 126-142.

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