{ "id": "0708.4294", "version": "v2", "published": "2007-08-31T08:20:25.000Z", "updated": "2008-05-21T12:10:38.000Z", "title": "Large sample asymptotics for the two-parameter Poisson--Dirichlet process", "authors": [ "Lancelot F. James" ], "comment": "Published in at http://dx.doi.org/10.1214/074921708000000147 the IMS Collections (http://www.imstat.org/publications/imscollections.htm) by the Institute of Mathematical Statistics (http://www.imstat.org)", "journal": "IMS Collections 2008, Vol. 3, 187-199", "doi": "10.1214/074921708000000147", "categories": [ "math.PR", "math.ST", "stat.TH" ], "abstract": "This paper explores large sample properties of the two-parameter $(\\alpha,\\theta)$ Poisson--Dirichlet Process in two contexts. In a Bayesian context of estimating an unknown probability measure, viewing this process as a natural extension of the Dirichlet process, we explore the consistency and weak convergence of the the two-parameter Poisson--Dirichlet posterior process. We also establish the weak convergence of properly centered two-parameter Poisson--Dirichlet processes for large $\\theta+n\\alpha.$ This latter result complements large $\\theta$ results for the Dirichlet process and Poisson--Dirichlet sequences, and complements a recent result on large deviation principles for the two-parameter Poisson--Dirichlet process. A crucial component of our results is the use of distributional identities that may be useful in other contexts.", "revisions": [ { "version": "v2", "updated": "2008-05-21T12:10:38.000Z" } ], "analyses": { "subjects": [ "62G05", "62F15" ], "keywords": [ "large sample asymptotics", "weak convergence", "two-parameter poisson-dirichlet posterior process", "result complements large", "properly centered two-parameter poisson-dirichlet processes" ], "tags": [ "journal article" ], "note": { "typesetting": "TeX", "pages": 0, "language": "en", "license": "arXiv", "status": "editable", "adsabs": "2007arXiv0708.4294J" } } }