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List of contributors | |
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An invitation to Bayesian nonparametrics | |
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Bayesian nonparametric methods: motivation and ideas | |
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Introduction | |
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Bayesian choices | |
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Decision theory | |
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Asymptotics | |
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General posterior inference | |
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Discussion | |
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References | |
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The Dirichlet process, related priors and posterior asymptotics | |
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Introduction | |
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The Dirichlet process | |
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Priors related to the Dirichlet process | |
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Posterior consistency | |
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Convergence rates of posterior distributions | |
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Adaptation and model selection | |
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Bernshtein-von Mises theorems | |
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Concluding remarks | |
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References | |
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Models beyond the Dirichlet process | |
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Introduction | |
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Models for survival analysis | |
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General classes of discrete nonparametric priors | |
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Models for density estimation | |
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Random means | |
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Concluding remarks | |
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References | |
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Further models and applications | |
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Beta processes for survival and event history models | |
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Quantile inference | |
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Shape analysis | |
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Time series with nonparametric correlation function | |
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Concluding remarks | |
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References | |
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Hierarchical Bayesian nonparametric models with applications | |
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Introduction | |
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Hierarchical Dirichlet processes | |
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Hidden Markov models with infinite state spaces | |
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Hierarchical Pitman-Yor processes | |
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The beta process and the Indian buffet process | |
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Semiparametric models | |
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Inference for hierarchical Bayesian nonparametric models | |
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Discussion | |
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References | |
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Computational issues arising in Bayesian nonparametric hierarchical models | |
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Introduction | |
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Construction of finite-dimensional measures on observables | |
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Recent advances in computation for Dirichlet process mixture models | |
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References | |
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Nonparametric Bayes applications to biostatistics | |
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Introduction | |
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Hierarchical modeling with Dirichlet process priors | |
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Nonparametric Bayes functional data analysis | |
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Local borrowing of information and clustering | |
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Borrowing information across studies and centers | |
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Flexible modeling of conditional distributions | |
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Bioinformatics | |
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Nonparametric hypothesis testing | |
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Discussion | |
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References | |
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More nonparametric Bayesian models for biostatistics | |
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Introduction | |
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Random partitions | |
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P�lya trees | |
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More DDP models | |
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Other data formats | |
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An R package for nonparametric Bayesian inference | |
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Discussion | |
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References | |
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Author index | |
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Subject index | |