Bayesian Density Estimation and Inference Using MixturesJournal of the American Statistical Association, Vol. 90, No. 430. (???? 1995), pp. 577-588.
|
Reviews
[Write a review of this article]
There are no reviews of this article
Notes for this articleThis is probably the first DP mixture paper, at least practically.
Find related articles from these CiteULike users
Find related articles with these CiteULike tags
AbstractWe describe and illustrate Bayesian inference in models for density estimation using mixtures of Dirichlet processes. These models provide natural settings for density estimation, and are exemplified by special cases where data are modelled as a sample from mixtures of normal distributions. Efficient simulation methods are used to approximate various prior, posterior and predictive distributions. This allows for direct inference on a variety of practical issues, including problems of local...
BibTeX record
RIS record