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Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture
  Models
v1v2 (latest)

Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models

11 August 2015
Alexandre Bouchard-Côté
Arnaud Doucet
Andrew Roth
ArXiv (abs)PDFHTML

Papers citing "Particle Gibbs Split-Merge Sampling for Bayesian Inference in Mixture Models"

2 / 2 papers shown
Title
Approximate blocked Gibbs sampling for Bayesian neural networks
Approximate blocked Gibbs sampling for Bayesian neural networks
Theodore Papamarkou
BDL
462
3
0
24 Aug 2022
Bayesian estimation of the latent dimension and communities in
  stochastic blockmodels
Bayesian estimation of the latent dimension and communities in stochastic blockmodels
Francesco Sanna Passino
N. Heard
BDL
51
25
0
06 Apr 2019
1