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Bayesian nonparametric predictive inference and bootstrap techniques

Author

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  • P. Muliere
  • P. Secchi

Abstract

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Suggested Citation

  • P. Muliere & P. Secchi, 1996. "Bayesian nonparametric predictive inference and bootstrap techniques," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 48(4), pages 663-673, December.
    • Handle: RePEc:spr:aistmt:v:48:y:1996:i:4:p:663-673
    DOI: 10.1007/BF00052326
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    References listed on IDEAS

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    1. Lo, Albert Y., 1991. "A characterization of the Dirichlet process," Statistics & Probability Letters, Elsevier, vol. 12(3), pages 185-187, September.
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    Cited by:

    1. Jarner, S. F. & Tweedie, R. L., 2002. "Convergence rates and moments of Markov chains associated with the mean of Dirichlet processes," Stochastic Processes and their Applications, Elsevier, vol. 101(2), pages 257-271, October.
    2. P. Muliere & S. Walker, 1997. "Neutral to the Right Processes from a Predictive Perspective: A Review and New Developments," Working Papers ir97082, International Institute for Applied Systems Analysis.
    3. Daniel J Graham & Cian Naik & Emma J McCoy & Haojie Li, 2019. "Do speed cameras reduce road traffic collisions?," PLOS ONE, Public Library of Science, vol. 14(9), pages 1-15, September.
    4. Pasquale Cirillo & Pietro Muliere, 2013. "An urn-based Bayesian block bootstrap," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(1), pages 93-106, January.
    5. Pietro Muliere & Stephen Walker, 2000. "Neutral to the right processes from a predictive perspective: a review and new developments," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(3-4), pages 13-30.

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