DC Field | Value | Language |
---|---|---|
dc.contributor.author | Chung, Yeonseung | ko |
dc.contributor.author | Dunson, David B. | ko |
dc.date.accessioned | 2013-03-08T17:11:39Z | - |
dc.date.available | 2013-03-08T17:11:39Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2011-02 | - |
dc.identifier.citation | ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS, v.63, no.1, pp.59 - 80 | - |
dc.identifier.issn | 0020-3157 | - |
dc.identifier.uri | http://hdl.handle.net/10203/93694 | - |
dc.description.abstract | As a generalization of the Dirichlet process (DP) to allow predictor dependence, we propose a local Dirichlet process (lDP). The lDP provides a prior distribution for a collection of random probability measures indexed by predictors. This is accomplished by assigning stick-breaking weights and atoms to random locations in a predictor space. The probability measure at a given predictor value is then formulated using the weights and atoms located in a neighborhood about that predictor value. This construction results in a marginal DP prior for the random measure at any specific predictor value. Dependence is induced through local sharing of random components. Theoretical properties are considered and a blocked Gibbs sampler is proposed for posterior computation in lDP mixture models. The methods are illustrated using simulated examples and an epidemiologic application. | - |
dc.language | English | - |
dc.publisher | Springer Heidelberg | - |
dc.title | The local Dirichlet process | - |
dc.type | Article | - |
dc.identifier.wosid | 000286919300004 | - |
dc.identifier.scopusid | 2-s2.0-78349242965 | - |
dc.type.rims | ART | - |
dc.citation.volume | 63 | - |
dc.citation.issue | 1 | - |
dc.citation.beginningpage | 59 | - |
dc.citation.endingpage | 80 | - |
dc.citation.publicationname | ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS | - |
dc.identifier.doi | 10.1007/s10463-008-0218-9 | - |
dc.contributor.localauthor | Chung, Yeonseung | - |
dc.contributor.nonIdAuthor | Dunson, David B. | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Dependent Dirichlet process | - |
dc.subject.keywordAuthor | Blocked Gibbs sampler | - |
dc.subject.keywordAuthor | Mixture model | - |
dc.subject.keywordAuthor | Non-parametric Bayes | - |
dc.subject.keywordAuthor | Stick-breaking representation | - |
dc.subject.keywordPlus | BAYESIAN DENSITY-ESTIMATION | - |
dc.subject.keywordPlus | MIXTURES | - |
dc.subject.keywordPlus | MODELS | - |
dc.subject.keywordPlus | INFERENCE | - |
dc.subject.keywordPlus | DISTRIBUTIONS | - |
dc.subject.keywordPlus | CONSISTENCY | - |
dc.subject.keywordPlus | PRIORS | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.