Estimation, prediction and interpretation of NGG random effects models: an application to Kevlar fibre failure times
DOI10.1007/s00362-013-0528-8zbMath1297.62068OpenAlexW1984465876MaRDI QIDQ744811
Raffaele Argiento, Antonio Pievatolo, Alessandra Guglielmi
Publication date: 26 September 2014
Published in: Statistical Papers (Search for Journal in Brave)
Full work available at URL: http://hdl.handle.net/10446/193126
clusteringBayesian nonparametricsgeneralized linear mixed modelsmixture modelshierarchical modelsnonparametric models
Nonparametric estimation (62G05) Bayesian inference (62F15) Generalized linear models (logistic models) (62J12) Reliability and life testing (62N05)
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Cites Work
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- Bayesian semiparametric inference for multivariate doubly-interval-censored data
- A comparison of nonparametric priors in hierarchical mixture modelling for AFT regression
- Bayesian density estimation and model selection using nonparametric hierarchical mixtures
- The two-parameter Poisson-Dirichlet distribution derived from a stable subordinator
- A general threshold stress hybrid hazard model for lifetime data
- Estimation in Dirichlet random effects models
- Bayesian Nonparametric Nonproportional Hazards Survival Modeling
- Posterior Analysis for Normalized Random Measures with Independent Increments
- Bayesian cluster analysis
- Bayesian Clustering and Product Partition Models
- Controlling the Reinforcement in Bayesian Non-Parametric Mixture Models
- Hierarchical Mixture Modeling With Normalized Inverse-Gaussian Priors
- Improved criteria for clustering based on the posterior similarity matrix
- Modeling censored lifetime data using a mixture of gammas baseline
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