HIGHLIGHTS
- who: Zoé van Havre and colleagues from the School of Mathematical Sciences, Queensland University of Technology, Brisbane, Queensland, Australia have published the paper: Overfitting Bayesian Mixture Models with an Unknown Number of Components, in the Journal: PLOS ONE | DOI:10.1371/journal.pone [0131739]. July 15, 2015 of February/17,/2015
- what: The authors aim to place stronger bounds on α so that extra components with no support have posterior weights approaching zero, to the point where they are allocated no observations. The aim of this paper is to produce a sparse, representative posterior configuration of . . .
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