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Bayesian Spatial Quantile Regression

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  • Reich, Brian J.
  • Fuentes, Montserrat
  • Dunson, David B.
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    File URL: http://pubs.amstat.org/doi/abs/10.1198/jasa.2010.ap09237
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    Article provided by American Statistical Association in its journal Journal of the American Statistical Association.

    Volume (Year): 106 (2011)
    Issue (Month): 493 ()
    Pages: 6-20

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    Handle: RePEc:bes:jnlasa:v:106:i:493:y:2011:p:6-20
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    Cited by:

    1. Jang, Woosung & Wang, Huixia Judy, 2015. "A semiparametric Bayesian approach for joint-quantile regression with clustered data," Computational Statistics & Data Analysis, Elsevier, vol. 84(C), pages 99-115.
    2. Maria Marino & Alessio Farcomeni, 2015. "Linear quantile regression models for longitudinal experiments: an overview," METRON, Springer;Sapienza Università di Roma, vol. 73(2), pages 229-247, August.
    3. Philip Kostov, 2013. "Empirical likelihood estimation of the spatial quantile regression," Journal of Geographical Systems, Springer, vol. 15(1), pages 51-69, January.
    4. Zhao, Kaifeng & Lian, Heng, 2016. "The Expectation–Maximization approach for Bayesian quantile regression," Computational Statistics & Data Analysis, Elsevier, vol. 96(C), pages 1-11.

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