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Marginal Likelihood and Bayes Factors for Dirichlet Process Mixture Models

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  • Basu S.
  • Chib S.
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    Article provided by American Statistical Association in its journal Journal of the American Statistical Association.

    Volume (Year): 98 (2003)
    Issue (Month): (January)
    Pages: 224-235

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    Handle: RePEc:bes:jnlasa:v:98:y:2003:p:224-235
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    Cited by:

    1. Georges Bresson & Cheng Hsiao & Alain Pirotte, 2011. "Assessing the contribution of R&D to total factor productivity—a Bayesian approach to account for heterogeneity and heteroskedasticity," AStA Advances in Statistical Analysis, Springer, vol. 95(4), pages 435-452, December.
    2. Chib, Siddhartha & Greenberg, Edward, 2010. "Additive cubic spline regression with Dirichlet process mixture errors," Journal of Econometrics, Elsevier, vol. 156(2), pages 322-336, June.
    3. Mark J. Jensen & John M. Maheu, 2012. "Estimating a Semiparametric Asymmetric Stochastic Volatility Model with a Dirichlet Process Mixture," Working Paper Series 45_12, The Rimini Centre for Economic Analysis.
    4. Bresson G. & Hsiao C., 2008. "A Functional Connectivity Approach for Modeling Cross-Sectional Dependence with an Application to the Estimation of Hedonic Housing Prices in Paris," Working Papers ERMES 0810, ERMES, University Paris 2.
    5. Ausín, M. Concepción & Galeano, Pedro & Ghosh, Pulak, 2014. "A semiparametric Bayesian approach to the analysis of financial time series with applications to value at risk estimation," European Journal of Operational Research, Elsevier, vol. 232(2), pages 350-358.
    6. Tchumtchoua, Sylvie & Dey, Dipak, 2007. "Semiparametric Bayesian Estimation of Random Coefficients Discrete Choice Models," Research Reports 149208, University of Connecticut, Food Marketing Policy Center.
    7. J. Griffin, 2011. "Bayesian clustering of distributions in stochastic frontier analysis," Journal of Productivity Analysis, Springer, vol. 36(3), pages 275-283, December.

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