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A. Polymenis
Publications - 1
Citations - 258
A. Polymenis is an academic researcher. The author has contributed to research in topics: Bayesian probability & Prior probability. The author has an hindex of 1, co-authored 1 publications receiving 258 citations.
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Journal Article
On Bayesian analysis of mixtures with an unknown number of components. Discussion. Author's reply
S. Richardson,Peter H.R. Green,Christian P. Robert,M. Aitkin,David Cox,M. Stephens,A. Polymenis,Walter R. Gilks,A. Nobile,M. Hodgson,Anthony O'Hagan,N. T. Longford,A. P. Dawid,Anthony C. Atkinson,José M. Bernardo,Julian Besag,Stephen Brooks,S. Byers,Adrian E. Raftery,Gilles Celeux,R. C. H. Cheng,W. B. Liu,Y.-H. Chien,Edward I. George,Noel A Cressie,H.-C. Huang,M.-A. Gruet,S. C. Heath,Christopher Jennison,Andrew B. Lawson,A. Clark,Geoffrey J. McLachlan,D. Peel,Kerrie Mengersen,A. George,A. Philippe,K. Roeder,Larry Wasserman,P. Schlattmann,D. Böhning,D. M. Titterington,H. Tong,Mike West +42 more
TL;DR: In this paper, a hierarchical prior model is proposed to deal with weak prior information while avoiding the mathematical pitfalls of using improper priors in the mixture context, and a sample from the full joint distribution of all unknown variables is generated, which can be used as a basis for a thorough presentation of many aspects of the posterior distribution.