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Information Journal Paper

Title

INFERENCES ABOUT A MEAN VECTOR UNDER A MIXTURE OF DIRICHLET PROCESS MODEL

Pages

  23-33

Abstract

 We study the problem of testing the hypothesis that the MEAN VECTOR of a random vector belongs to a given set. For this purpose, we consider a semiparametric mixture of DIRICHLET PROCESS model in which the MEAN VECTOR has a prior distribution concentrated on the set of interest. A computational method is given to obtain a sample from the posterior distribution of the MEAN VECTOR. On the basis of this sample, we can obtain the Bayes estimate and the posterior probability that the hypothesis is true. We give a numerical example to demonstrate the application of this method.

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    APA: Copy

    GHALAMFARSA MOSTOUFI, A., & BEHBOUDIAN, JAVAD. (2008). INFERENCES ABOUT A MEAN VECTOR UNDER A MIXTURE OF DIRICHLET PROCESS MODEL. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), 7(1-2), 23-33. SID. https://sid.ir/paper/117882/en

    Vancouver: Copy

    GHALAMFARSA MOSTOUFI A., BEHBOUDIAN JAVAD. INFERENCES ABOUT A MEAN VECTOR UNDER A MIXTURE OF DIRICHLET PROCESS MODEL. JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS)[Internet]. 2008;7(1-2):23-33. Available from: https://sid.ir/paper/117882/en

    IEEE: Copy

    A. GHALAMFARSA MOSTOUFI, and JAVAD BEHBOUDIAN, “INFERENCES ABOUT A MEAN VECTOR UNDER A MIXTURE OF DIRICHLET PROCESS MODEL,” JOURNAL OF THE IRANIAN STATISTICAL SOCIETY (JIRSS), vol. 7, no. 1-2, pp. 23–33, 2008, [Online]. Available: https://sid.ir/paper/117882/en

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