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Independent and Identically Distributed Monte Carlo Algorithms for Semiparametric Linear Mixed Models

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  • Ishwaran H.
  • Takahara G.

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  • Ishwaran H. & Takahara G., 2002. "Independent and Identically Distributed Monte Carlo Algorithms for Semiparametric Linear Mixed Models," Journal of the American Statistical Association, American Statistical Association, vol. 97, pages 1154-1166, December.
    • Handle: RePEc:bes:jnlasa:v:97:y:2002:m:december:p:1154-1166
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    Cited by:

    1. Henry T Robertson & David B Allison, 2012. "A Novel Generalized Normal Distribution for Human Longevity and other Negatively Skewed Data," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-7, May.
    2. Ho, Man-Wai, 2011. "Usage of a pair of -paths in Bayesian estimation of a unimodal density," Computational Statistics & Data Analysis, Elsevier, vol. 55(4), pages 1581-1595, April.
    3. Yang, Mingan & Dunson, David B. & Baird, Donna, 2010. "Semiparametric Bayes hierarchical models with mean and variance constraints," Computational Statistics & Data Analysis, Elsevier, vol. 54(9), pages 2172-2186, September.
    4. Yang, Mingan, 2012. "Bayesian variable selection for logistic mixed model with nonparametric random effects," Computational Statistics & Data Analysis, Elsevier, vol. 56(9), pages 2663-2674.
    5. Mariano Ruiz Espejo & Miguel Delgado Pineda & Saralees Nadarajah, 2013. "Optimal unbiased estimation of some population central moments," METRON, Springer;Sapienza Università di Roma, vol. 71(1), pages 39-62, June.
    6. Mingan Yang & David Dunson, 2010. "Bayesian Semiparametric Structural Equation Models with Latent Variables," Psychometrika, Springer;The Psychometric Society, vol. 75(4), pages 675-693, December.

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