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scientific article; zbMATH DE number 6781349

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Publication:5361289
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zbMath1439.62081arXiv1508.02663MaRDI QIDQ5361289

Arnaud Doucet, Alexandre Bouchard-Côté, Andrew Roth

Publication date: 27 September 2017

Full work available at URL: https://arxiv.org/abs/1508.02663

Title: zbMATH Open Web Interface contents unavailable due to conflicting licenses.

zbMATH Keywords

Gibbs samplersequential Monte CarloDirichlet process mixture modelsparticle Gibbs sampler


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Bayesian inference (62F15) Monte Carlo methods (65C05) Geostatistics (86A32) Sequential statistical analysis (62L10)


Related Items (7)

Approximate blocked Gibbs sampling for Bayesian neural networks ⋮ A Bayesian Nonparametric Test for Cross-Group Differences Relative to a Control ⋮ Hamiltonian sequential Monte Carlo with application to consumer choice behavior ⋮ A new flexible Bayesian hypothesis test for multivariate data ⋮ ParticleMDI: particle Monte Carlo methods for the cluster analysis of multiple datasets with applications to cancer subtype identification ⋮ Unnamed Item ⋮ PGSM


Uses Software

  • SMCTC
  • GitHub






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