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Motor Unit Number Estimation—A Bayesian Approach

Author

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  • P. Gareth Ridall
  • Anthony N. Pettitt
  • Robert D. Henderson
  • Pamela A. McCombe

Abstract

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Suggested Citation

  • P. Gareth Ridall & Anthony N. Pettitt & Robert D. Henderson & Pamela A. McCombe, 2006. "Motor Unit Number Estimation—A Bayesian Approach," Biometrics, The International Biometric Society, vol. 62(4), pages 1235-1250, December.
    • Handle: RePEc:bla:biomet:v:62:y:2006:i:4:p:1235-1250
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    File URL: http://hdl.handle.net/10.1111/j.1541-0420.2006.00577.x
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    References listed on IDEAS

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    1. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    2. Evans, Michael & Swartz, Timothy, 2000. "Approximating Integrals via Monte Carlo and Deterministic Methods," OUP Catalogue, Oxford University Press, number 9780198502784.
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    Cited by:

    1. Drovandi, Christopher C. & Pettitt, Anthony N. & Henderson, Robert D. & McCombe, Pamela A., 2014. "Marginal reversible jump Markov chain Monte Carlo with application to motor unit number estimation," Computational Statistics & Data Analysis, Elsevier, vol. 72(C), pages 128-146.
    2. Taylor, Simon A.C. & Sherlock, Chris & Ridall, Gareth & Fearnhead, Paul, 2020. "Motor unit number estimation via sequential Monte Carlo," Computational Statistics & Data Analysis, Elsevier, vol. 144(C).

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