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Exact and approximate sum representations for the Dirichlet process
Authors:Hemant Ishwaran  Mahmoud Zarepour
Abstract:The Dirichlet process can be regarded as a random probability measure for which the authors examine various sum representations. They consider in particular the gamma process construction of Ferguson (1973) and the “stick‐breaking” construction of Sethuraman (1994). They propose a Dirichlet finite sum representation that strongly approximates the Dirichlet process. They assess the accuracy of this approximation and characterize the posterior that this new prior leads to in the context of Bayesian nonpara‐metric hierarchical models.
Keywords:Almost sure truncation  finite dimensional Dirichlet prior    vy measure  Poisson process  random probability measure  stick‐breaking prior  weak convergence
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