Pages that link to "Item:Q2631383"
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The following pages link to Mixture models for ordinal data: a pairwise likelihood approach (Q2631383):
Displaying 16 items.
- Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm (Q132947) (← links)
- Preliminary estimators for a mixture model of ordinal data (Q695676) (← links)
- On the conditional and mixture model approaches for matched pairs (Q1125976) (← links)
- Mixture models for mixed-type data through a composite likelihood approach (Q1658421) (← links)
- Model-based co-clustering for ordinal data (Q1662824) (← links)
- A model-based approach to simultaneous clustering and dimensional reduction of ordinal data (Q1695738) (← links)
- Estimating finite mixtures of ordinal graphical models (Q2141636) (← links)
- Likelihood-based tests for a class of misspecified finite mixture models for ordinal categorical data (Q2177716) (← links)
- Model-based clustering (Q2628064) (← links)
- An Overview on the URV Model-Based Approach to Cluster Mixed-Type Data (Q3296443) (← links)
- Co-Clustering of Ordinal Data via Latent Continuous Random Variables and Not Missing at Random Entries (Q5066747) (← links)
- Model selection for mixture-based clustering for ordinal data (Q5361199) (← links)
- Estimation in Truncated GLG Model for Ordered Categorical Spatial Data Using the SAEM Algorithm (Q5415867) (← links)
- Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach (Q6172915) (← links)
- Clustering longitudinal ordinal data via finite mixture of matrix-variate distributions (Q6494426) (← links)
- Mixture of Networks for Clustering Categorical Data: A Penalized Composite Likelihood Approach (Q6562795) (← links)
