IDEAS home Printed from https://ideas.repec.org/a/mtn/ancoec/060105.html
   My bibliography  Save this article

On the distribution of random Dirichlet jumps

Author

Listed:
  • Nils Lid Hjort
  • Andrea Ongaro

Abstract

No abstract is available for this item.

Suggested Citation

  • Nils Lid Hjort & Andrea Ongaro, 2006. "On the distribution of random Dirichlet jumps," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 61-92.
    • Handle: RePEc:mtn:ancoec:060105
    as

    Download full text from publisher

    File URL: https://www.dss.uniroma1.it/RePec/mtn/articoli/2006-1-5.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Donnelly, Peter & Joyce, Paul, 1989. "Continuity and weak convergence of ranked and size-biased permutations on the infinite simplex," Stochastic Processes and their Applications, Elsevier, vol. 31(1), pages 89-103, March.
    2. Perman, Mihael, 1993. "Order statistics for jumps of normalised subordinators," Stochastic Processes and their Applications, Elsevier, vol. 46(2), pages 267-281, June.
    3. Nils Hjort & Andrea Ongaro, 2005. "Exact Inference for Random Dirichlet Means," Statistical Inference for Stochastic Processes, Springer, vol. 8(3), pages 227-254, December.
    4. Lloyd, C. J. & Williams, E. J., 1988. "Recursive splitting of an interval when the proportions are identical and independent random variables," Stochastic Processes and their Applications, Elsevier, vol. 28(1), pages 111-122, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yuguang Ipsen & Ross Maller & Soudabeh Shemehsavar, 2020. "Limiting Distributions of Generalised Poisson–Dirichlet Distributions Based on Negative Binomial Processes," Journal of Theoretical Probability, Springer, vol. 33(4), pages 1974-2000, December.
    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. Dassios, Angelos & Zhang, Junyi, 2021. "Exact simulation of two-parameter Poisson-Dirichlet random variables," LSE Research Online Documents on Economics 107937, London School of Economics and Political Science, LSE Library.
    4. Antonio Lijoi & Igor Prunster, 2009. "Models beyond the Dirichlet process," Quaderni di Dipartimento 103, University of Pavia, Department of Economics and Quantitative Methods.
    5. Argiento, Raffaele & Guglielmi, Alessandra & Pievatolo, Antonio, 2010. "Bayesian density estimation and model selection using nonparametric hierarchical mixtures," Computational Statistics & Data Analysis, Elsevier, vol. 54(4), pages 816-832, April.
    6. Benjamin J Finley & Kalevi Kilkki, 2014. "Exploring Empirical Rank-Frequency Distributions Longitudinally through a Simple Stochastic Process," PLOS ONE, Public Library of Science, vol. 9(4), pages 1-14, April.
    7. Eliardo G. Costa & Carlos Daniel Paulino & Julio M. Singer, 2023. "Optimal sample size for estimating the mean concentration of invasive organisms in ballast water via a semiparametric Bayesian analysis," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(1), pages 57-74, March.
    8. Shi, Quan, 2015. "On the number of large triangles in the Brownian triangulation and fragmentation processes," Stochastic Processes and their Applications, Elsevier, vol. 125(11), pages 4321-4350.
    9. Epifani, I. & Guglielmi, A. & Melilli, E., 2006. "A stochastic equation for the law of the random Dirichlet variance," Statistics & Probability Letters, Elsevier, vol. 76(5), pages 495-502, March.
    10. Lancelot F. James & Antonio Lijoi & Igor Prünster, 2006. "Distributions of Functionals of the two Parameter Poisson-Dirichlet Process," ICER Working Papers - Applied Mathematics Series 29-2006, ICER - International Centre for Economic Research.
    11. Feng, Shui & Gao, Fuqing, 2010. "Asymptotic results for the two-parameter Poisson-Dirichlet distribution," Stochastic Processes and their Applications, Elsevier, vol. 120(7), pages 1159-1177, July.
    12. Dickey, James M. & Jiang, Thomas J. & Kuo, Kun-Lin, 2013. "Distribution of functionals of a Ferguson–Dirichlet process over an n-dimensional ball," Journal of Multivariate Analysis, Elsevier, vol. 120(C), pages 216-225.
    13. Ipsen, Yuguang & Maller, Ross & Shemehsavar, Soudabeh, 2020. "Size biased sampling from the Dickman subordinator," Stochastic Processes and their Applications, Elsevier, vol. 130(11), pages 6880-6900.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:mtn:ancoec:060105. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Marco Alfo' (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.