Pages that link to "Item:Q278483"
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The following pages link to Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm (Q278483):
Displaying 6 items.
- A Bayesian sparse finite mixture model for clustering data from a heterogeneous population (Q783308) (← links)
- Merging MCMC subposteriors through Gaussian-process approximations (Q1631561) (← links)
- Minimum Hellinger distance estimation for a semiparametric location-shifted mixture model (Q4960700) (← links)
- A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling (Q5107497) (← links)
- Merging the components of a finite mixture using posterior probabilities (Q5142230) (← links)
- Particle Gibbs split-merge sampling for Bayesian inference in mixture models (Q5361289) (← links)