Bayesian Nonparametric Inference for Random Distributions and Related Functions 论文
1999Journal of the Royal Statistical Society Series B (Statistical Methodology)引用 233
Bayesian Methods and Mixture ModelsStatistical Methods and InferenceGaussian Processes and Bayesian Inference
摘要
Summary In recent years, Bayesian nonparametric inference, both theoretical and computational, has witnessed considerable advances. However, these advances have not received a full critical and comparative analysis of their scope, impact and limitations in statistical modelling; many aspects of the theory and methods remain a mystery to practitioners and many open questions remain. In this paper, we discuss and illustrate the rich modelling and analytic possibilities that are available to the statistician within the Bayesian nonparametric and/or semiparametric framework.