Robustifying Bayesian nonparametric mixtures for count data

DOI10.1111/biom.12538zbMath1366.62205OpenAlexW2343968659WikidataQ31086766 ScholiaQ31086766MaRDI QIDQ5347416

Antonio Canale, Igor Prünster

Publication date: 23 May 2017

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2318/1609944

zbMATH Keywords

Bayesian nonparametricsPoisson mixturemixture modelPitman-Yor processabundance heterogeneityrounded mixture of Gaussians

Mathematics Subject Classification ID

Density estimation (62G07) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (6)

Importance conditional sampling for Pitman-Yor mixtures ⋮ A Robustified Posterior for Bayesian Inference on a Large Number of Parallel Effects ⋮ A Common Atoms Model for the Bayesian Nonparametric Analysis of Nested Data ⋮ On a Dirichlet process mixture representation of phase-type distributions ⋮ Multiscale stick-breaking mixture models ⋮ Low information omnibus (LIO) priors for Dirichlet process mixture models

Uses Software

• rmp

Cites Work

• Bayesian semiparametric inference for multivariate doubly-interval-censored data
• On a class of Bayesian nonparametric estimates: I. Density estimates
• The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
• Bayesian nonparametric data analysis
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• Mixed Poisson Distributions
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• Bayesian Nonparametric Estimation of the Probability of Discovering New Species
• A semiparametric Bayesian model for randomised block designs
• Analysis of Overdispersed Count Data by Mixtures of Poisson Variables and Poisson Processes
• Bayesian Analysis of Poisson Mixtures
• Gibbs Sampling Methods for Stick-Breaking Priors
• Bayesian Density Estimation and Inference Using Mixtures
• A New Estimator of the Discovery Probability
• Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors
• Modeling with normalized random measure mixture models

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