Nonparametric Bayesian methods: a gentle introduction and overview
- 30 November 2016
- journal article
- Published by The Korean Statistical Society in Communications for Statistical Applications and Methods
- Vol. 23 (6) , 445-466
Abstract
Steven N. MacEachern. CSAM 2016;23:445-66. https://doi.org/10.5351/CSAM.2016.23.6.445Keywords
Funding Information
- National Science Foundation(NSF) (DMS-1613110)
This publication has 69 references indexed in Scilit:
- Transformations and Bayesian density estimationElectronic Journal of Statistics, 2016
- Feature Allocations, Probability Functions, and PaintboxesBayesian Analysis, 2013
- On the Support of MacEachern’s Dependent Dirichlet Processes and ExtensionsBayesian Analysis, 2012
- Minimally Informative Prior Distributions for Non-Parametric Bayesian AnalysisJournal of the Royal Statistical Society Series B: Statistical Methodology, 2010
- Variational inference for Dirichlet process mixturesBayesian Analysis, 2006
- An ANOVA Model for Dependent Random MeasuresJournal of the American Statistical Association, 2004
- A semiparametric Bayesian model for randomised block designsBiometrika, 1996
- Empirical Bayes Estimation of a Binomial Parameter Via Mixtures of Dirichlet ProcessesThe Annals of Statistics, 1979
- Mixtures of Dirichlet Processes with Applications to Bayesian Nonparametric ProblemsThe Annals of Statistics, 1974
- Ferguson Distributions Via Polya Urn SchemesThe Annals of Statistics, 1973