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MCMC methods to approximate conditional predictive distributions

Author

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  • Bayarri, M.J.
  • Castellanos, M.E.
  • Morales, J.

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Suggested Citation

  • Bayarri, M.J. & Castellanos, M.E. & Morales, J., 2006. "MCMC methods to approximate conditional predictive distributions," Computational Statistics & Data Analysis, Elsevier, vol. 51(2), pages 621-640, November.
  • Handle: RePEc:eee:csdana:v:51:y:2006:i:2:p:621-640
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    References listed on IDEAS

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    1. Strickland, Chris M. & Forbes, Catherine S. & Martin, Gael M., 2006. "Bayesian analysis of the stochastic conditional duration model," Computational Statistics & Data Analysis, Elsevier, vol. 50(9), pages 2247-2267, May.
    2. Browne, William J., 2006. "MCMC algorithms for constrained variance matrices," Computational Statistics & Data Analysis, Elsevier, vol. 50(7), pages 1655-1677, April.
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    Cited by:

    1. Klugkist, Irene & Hoijtink, Herbert, 2009. "Obtaining similar null distributions in the normal linear model using computational methods," Computational Statistics & Data Analysis, Elsevier, vol. 53(4), pages 877-888, February.

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