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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 | |