Advances in computation and the fast and cheap computational facilities now available to statisticians have had a significant impact upon statistical research, and especially th...
Abstract Advances in computation and the fast and cheap computational facilities now available to statisticians have had a significant impact upon statistical research, and espe...
Abstract We describe and illustrate Bayesian inference in models for density estimation using mixtures of Dirichlet processes. These models provide natural settings for density ...
We discuss several nonparametric methods for attaching a standard error to a point estimate: the jackknife, the bootstrap, half-sampling, subsampling, balanced repeated replicat...
Abstract We introduce a mixture of generalized hyperbolic distributions as an alternative to the ubiquitous mixture of Gaussian distributions as well as their near relatives wit...
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