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Bayesian Nonparametric Analysis for a Generalized Dirichlet Process Prior

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  • Antonio Lijoi
  • Ramsés Mena
  • Igor Prünster

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  • Antonio Lijoi & Ramsés Mena & Igor Prünster, 2005. "Bayesian Nonparametric Analysis for a Generalized Dirichlet Process Prior," Statistical Inference for Stochastic Processes, Springer, vol. 8(3), pages 283-309, December.
    • Handle: RePEc:spr:sistpr:v:8:y:2005:i:3:p:283-309
    DOI: 10.1007/s11203-005-6071-z
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    References listed on IDEAS

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    1. Antonio Lijoi & Ramsés H. Mena & Igor Prünster, 2004. "Hierarchical mixture modelling with normalized inverse Gaussian priors," ICER Working Papers - Applied Mathematics Series 12-2004, ICER - International Centre for Economic Research.
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    Cited by:

    1. Hassan Akell & Farkhondeh-Alsadat Sajadi & Iraj Kazemi, 2023. "Construction of Jointly Distributed Random Samples Drawn from the Beta Two-Parameter Process," Methodology and Computing in Applied Probability, Springer, vol. 25(3), pages 1-12, September.
    2. Antonio Lijoi & Igor Pruenster, 2009. "Distributional Properties of means of Random Probability Measures," ICER Working Papers - Applied Mathematics Series 22-2009, ICER - International Centre for Economic Research.
    3. Pierpaolo De Blasi & Stefano Favaro & Antonio Lijoi & Ramsés H. Mena & Igor Prünster & Mattteo Ruggiero, 2013. "Are Gibbs-type priors the most natural generalization of the Dirichlet process?," DEM Working Papers Series 054, University of Pavia, Department of Economics and Management.
    4. Lennart Bondesson, 2015. "A Class of Probability Distributions that is Closed with Respect to Addition as Well as Multiplication of Independent Random Variables," Journal of Theoretical Probability, Springer, vol. 28(3), pages 1063-1081, September.

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