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A bivariate Poisson count data model using conditional probabilities


  • Peter Berkhout
  • Erik Plug


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  • Peter Berkhout & Erik Plug, 2004. "A bivariate Poisson count data model using conditional probabilities," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 58(3), pages 349-364.
  • Handle: RePEc:bla:stanee:v:58:y:2004:i:3:p:349-364

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    Cited by:

    1. Xiaoping Jin & Bradley P. Carlin & Sudipto Banerjee, 2005. "Generalized Hierarchical Multivariate CAR Models for Areal Data," Biometrics, The International Biometric Society, vol. 61(4), pages 950-961, December.
    2. Aristidis Nikoloulopoulos & Dimitris Karlis, 2010. "Regression in a copula model for bivariate count data," Journal of Applied Statistics, Taylor & Francis Journals, vol. 37(9), pages 1555-1568.
    3. F. Novoa-Muñoz & M. Jiménez-Gamero, 2014. "Testing for the bivariate Poisson distribution," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 77(6), pages 771-793, August.
    4. repec:eee:jmvana:v:165:y:2018:i:c:p:180-193 is not listed on IDEAS
    5. repec:spr:stpapr:v:58:y:2017:i:2:d:10.1007_s00362-015-0708-9 is not listed on IDEAS
    6. Bermúdez, Lluís & Karlis, Dimitris, 2011. "Bayesian multivariate Poisson models for insurance ratemaking," Insurance: Mathematics and Economics, Elsevier, vol. 48(2), pages 226-236, March.
    7. Tsung-Shan Tsou, 2016. "Robust likelihood inference for multivariate correlated count data," Computational Statistics, Springer, vol. 31(3), pages 845-857, September.

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