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Non-parametric Bayesian estimation for multitype branching processes through simulation-based methods

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  • Gonzalez, M.
  • Martin, J.
  • Martinez, R.
  • Mota, M.

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Suggested Citation

  • Gonzalez, M. & Martin, J. & Martinez, R. & Mota, M., 2008. "Non-parametric Bayesian estimation for multitype branching processes through simulation-based methods," Computational Statistics & Data Analysis, Elsevier, vol. 52(3), pages 1281-1291, January.
    • Handle: RePEc:eee:csdana:v:52:y:2008:i:3:p:1281-1291
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    References listed on IDEAS

    as
    1. Manuel Mendoza & Eduardo Gutiérrez-Peña, 2000. "Bayesian conjugate analysis of the Galton-Watson process," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 9(1), pages 149-171, June.
    2. Frank G. Ball, 2004. "Stochastic multitype epidemics in a community of households: Estimation of threshold parameter R-sub-* and secure vaccination coverage," Biometrika, Biometrika Trust, vol. 91(2), pages 345-362, June.
    3. El Adlouni, Salaheddine & Favre, Anne-Catherine & Bobee, Bernard, 2006. "Comparison of methodologies to assess the convergence of Markov chain Monte Carlo methods," Computational Statistics & Data Analysis, Elsevier, vol. 50(10), pages 2685-2701, June.
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