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Comparing Distributions by using Dependent Normalized Random-Measure Mixtures
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Slice sampling mixture models
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A Class of Hazard Rate Mixtures for Combining Survival Data From Different Experiments
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Posterior Analysis for Normalized Random Measures with Independent Increments
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A Method for Combining Inference Across Related Nonparametric Bayesian Models
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Controlling the Reinforcement in Bayesian Non-Parametric Mixture Models
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Random Discrete Distributions
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An ANOVA Model for Dependent Random Measures
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Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors
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Hierarchical Dirichlet Processes
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The Matrix Stick-Breaking Process
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A Bayesian Analysis of Some Nonparametric Problems
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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