Pages that link to "Item:Q137459"
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The following pages link to Modelling heterogeneity with and without the Dirichlet process (Q137459):
Displaying 15 items.
- MCMC for normalized random measure mixture models (Q5965029) (← links)
- Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis (Q6051669) (← links)
- Bayesian clustering for continuous‐time hidden Markov models (Q6059435) (← links)
- Space‐time areal mixture model: relabeling algorithm and model selection issues (Q6069114) (← links)
- Identifying Latent Groups in Spatial Panel Data Using a Markov Random Field Constrained Product Partition Model (Q6069477) (← links)
- Full uncertainty analysis for Bayesian nonparametric mixture models (Q6071699) (← links)
- A Bayesian nonparametric approach for handling item and examinee heterogeneity in assessment data (Q6127079) (← links)
- Cross‐validation based assessment of a new Bayesian palaeoclimate model (Q6179524) (← links)
- Finite-dimensional Discrete Random Structures and Bayesian Clustering (Q6567888) (← links)
- Entropy regularization in probabilistic clustering (Q6580619) (← links)
- A convergence diagnostic for Bayesian clustering (Q6602121) (← links)
- Integrative clustering methods for multi-omics data (Q6602356) (← links)
- Population size estimation by repeated identifications of units. A Bayesian semi-parametric mixture model approach (Q6614844) (← links)
- Clustering spatial functional data using a geographically weighted Dirichlet process (Q6632380) (← links)
- Model choice using reversible jump Markov chain Monte Carlo (Q6647316) (← links)
