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The properties of the prior are described and the modelling possibilities of this framework are explored in detail. Efficient slice sampling methods are developed for inference. Various posterior summaries are introduced which allow better understanding of the differences between distributions. The methods are illustrated on simulated data and examples from survival analysis and stochastic frontier analysis.<\/jats:p>","DOI":"10.1111\/rssb.12002","type":"journal-article","created":{"date-parts":[[2013,2,7]],"date-time":"2013-02-07T13:26:23Z","timestamp":1360243583000},"page":"499-529","source":"Crossref","is-referenced-by-count":29,"title":["Comparing Distributions by using Dependent Normalized Random-Measure Mixtures"],"prefix":"10.1093","volume":"75","author":[{"given":"J. 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