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An approximate posterior simulation for GLMM with large samples

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Publication:2321777
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DOI10.1007/s42519-019-0045-8zbMath1425.62089OpenAlexW2950492375MaRDI QIDQ2321777

Annette Christianson, Siva Sivaganesan

Publication date: 23 August 2019

Published in: Journal of Statistical Theory and Practice (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s42519-019-0045-8


zbMATH Keywords

Bayesian inferenceMCMCGLMMapproximate posterior simulation


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Generalized linear models (logistic models) (62J12)




Cites Work

  • Unnamed Item
  • Statistical decision theory and Bayesian analysis. 2nd ed
  • Consistency and asymptotic normality of the maximum likelihood estimator in generalized linear models
  • Likelihood-based data squashing: A modeling approach to instance construction
  • Fitting semiparametric random effects models to large data sets
  • Statistical Methods for Profiling Providers of Medical Care: Issues and Applications
  • Posterior Simulation in Countable Mixture Models for Large Datasets
  • Consistency and Asymptotic Normality of MLE's for Exponential Models




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