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2
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Bayesian Nonparametric Mixture Modeling
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Exact and approximate . . .
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36
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Generalized weighted Chinese restaurant processes for species sampling mixture models
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A note on convergence rates of Gibbs sampling for nonparametric mixtures
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2
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Posterior Integration in Dynamic Models
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18
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Approximate Dirichlet Process Computing in Finite Normal Mixtures: Smoothing and Prior Information
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1
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NONPARAMETRIC PRIORS FOR ORDINAL BAYESIAN SOCIAL SCIENCE MODELS: SPECIFICATION AND ESTIMATION
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160
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Gibbs Sampling Methods for Stick-Breaking Priors
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7
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Poisson calculus for spatial neutral to the right processes
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Bayesian Methods for Function Estimation
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6
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A note on the Dirichlet process prior in Bayesian nonparametric inference with partial exchangeability
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61
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Sequential Importance Sampling for Nonparametric Bayes Models: The Next Generation
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3
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Hierarchical Models for Estimating Herd Prevalence and Test Accuracy in the Absence of a Gold-Standard
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12
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Bayesian Semiparametric Inference for the Accelerated Failure Time Model
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Modeling Variability Order: A Semiparametric Bayesian Approach
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4
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Bayesian Semiparametric Regression for Median Residual Life
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21
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Poisson process partition calculus with an application to Bayesian . . .
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10
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Bayesian Multiple Comparisons Using Dirichlet Process Priors
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Nonparametric Bayesian Clinical Trial Design for Continuous Patient Response
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