Related references
Note: Only part of the references are listed.Robustifying Bayesian Nonparametric Mixtures for Count Data
Antonio Canale et al.
BIOMETRICS (2017)
Computationally tractable approximate and smoothed Polya trees
William Cipolli et al.
STATISTICS AND COMPUTING (2017)
Are Gibbs-Type Priors the Most Natural Generalization of the Dirichlet Process?
Pierpaolo De Blasi et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2015)
DPpackage: Bayesian Semi- and Nonparametric Modeling inR
Alejandro Jara et al.
Journal of Statistical Software (2015)
Bayesian inference with dependent normalized completely random measures
Antonio Lijoi et al.
BERNOULLI (2014)
Bayesian Kernel Mixtures for Counts
Antonio Canale et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2011)
Slice sampling mixture models
Maria Kalli et al.
STATISTICS AND COMPUTING (2011)
OPTIONAL POLYA TREE AND BAYESIAN INFERENCE
Wing H. Wong et al.
ANNALS OF STATISTICS (2010)
Default priors for density estimation with mixture models
J. E. Griffin
BAYESIAN ANALYSIS (2010)
Robustifying Generalized Linear Mixed Models Using a New Class of Mixtures of Multivariate Polya Trees
Alejandro Jara et al.
JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS (2009)
Posterior Analysis for Normalized Random Measures with Independent Increments
Lancelot F. James et al.
SCANDINAVIAN JOURNAL OF STATISTICS (2009)
Conjugacy as a distinctive feature of the Dirichlet process
LF James et al.
SCANDINAVIAN JOURNAL OF STATISTICS (2006)
Normalized random measures driven by increasing additive processes
LE Nieto-Barajas et al.
ANNALS OF STATISTICS (2004)
The bimodal galaxy color distribution: Dependence on luminosity and environment
ML Balogh et al.
ASTROPHYSICAL JOURNAL (2004)
Gibbs sampling methods for stick-breaking priors
H Ishwaran et al.
JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION (2001)