Abstract

Let Τ be a probability measure on [0,1]. We consider a generalization of the classic Dirichlet process — the random probability measure $$F = \sum {P_i \delta _{X_i } } $$ , where X={Xi} is a sequence of independent random variables with the common distribution Τ and P={Pi} is independent of X and has the two-parameter Poisson-Dirichlet distribution PD(α, θ) on the unit simplex. The main result is the formula connecting the distribution Μ of the random mean value ∫ xdF(x) with the parameter measure Τ.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.