Pages that link to "Item:Q6055502"

The following pages link to A Bayesian approach to restricted latent class models for scientifically structured clustering of multivariate binary outcomes (Q6055502):

Displaying 4 items.

• Exploring dependence between categorical variables: benefits and limitations of using variable selection within Bayesian clustering in relation to log-linear modelling with interaction terms (Q254920) (← links)
• Model-based Clustering of Binary Longitudinal Atopic Dermatitis Disease Histories by Latent Class Mixture Models (Q5122796) (← links)
• Integrating sample similarities into latent class analysis: a tree‐structured shrinkage approach (Q6056158) (← links)
• Feature selection and classification over the network with missing node observations (Q6626779) (← links)