A stochastic equation for the law of the random Dirichlet variance
This paper shows some new results concerning the law of the random variance V of a Dirichlet process P, expressed as the solution of a stochastic equation involving the squared difference between two independent copies of the mean of P. An explicit solution of this equation is obtained via the Zolotarev transform of V. Moreover, we discuss the correspondence between the distribution of the variance and the parameter of the Dirichlet process with given total mass.
Year of publication: |
2006
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Authors: | Epifani, I. ; Guglielmi, A. ; Melilli, E. |
Published in: |
Statistics & Probability Letters. - Elsevier, ISSN 0167-7152. - Vol. 76.2006, 5, p. 495-502
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Publisher: |
Elsevier |
Keywords: | Distributions of functionals of Dirichlet processes Integral transforms Moments of a distribution Stochastic equation |
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