Pages that link to "Item:Q2485463"
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The following pages link to Mixture models, latent variables and partitioned importance sampling (Q2485463):
Displaying 14 items.
- Mixture models with an unknown number of components via a new posterior split-merge MCMC algorithm (Q278483) (← links)
- A gene-by-gene multiple comparison analysis: a predictive Bayesian approach (Q481435) (← links)
- A Bayesian sparse finite mixture model for clustering data from a heterogeneous population (Q783308) (← links)
- Optimizing random scan Gibbs samplers (Q853941) (← links)
- Exact and Monte Carlo calculations of integrated likelihoods for the latent class model (Q988928) (← links)
- Langevin incremental mixture importance sampling (Q1703855) (← links)
- Latent Gaussian random field mixture models (Q1799875) (← links)
- A soft computing model based on asymmetric Gaussian mixtures and Bayesian inference (Q2152880) (← links)
- Estimating marginal likelihoods for mixture and Markov switching models using bridge sampling techniques* (Q3156190) (← links)
- Bayesian Measures of Model Complexity and Fit (Q4672150) (← links)
- Perfect Samplers for Mixtures of Distributions (Q4672161) (← links)
- Approximate Bayesian computation for finite mixture models (Q5065237) (← links)
- A data-driven selection of the number of clusters in the Dirichlet allocation model via Bayesian mixture modelling (Q5107497) (← links)
- Multinomial <i>N</i>‐mixture models for removal sampling (Q5128832) (← links)
