Pages that link to "Item:Q961745"

The following pages link to Spatial latent class analysis model for spatially distributed multivariate binary data (Q961745):

Displaying 14 items.

• Bayesian Non-Parametric Factor Analysis for Longitudinal Spatial Surfaces (Q63883) (← links)
• Editorial. Spatial statistics: methods, models \& computation (Q961710) (← links)
• A latent factor model for spatial data with informative missingness (Q977647) (← links)
• A model for analyzing spatially correlated binary data clustered in uncorrelated lattices (Q1756181) (← links)
• A spatial latent class model (Q1787232) (← links)
• A shared spatial model for multivariate extreme-valued binary data with non-random missingness (Q2061742) (← links)
• Erratum to: ``The spatial representation of consumer dispersion patterns via a new multi-level latent class methodology'' (Q2169869) (← links)
• A clipped latent variable model for spatially correlated ordered categorical data (Q2445652) (← links)
• Hierarchical multivariate mixture generalized linear models for the analysis of spatial data: an application to disease mapping (Q2829465) (← links)
• A Bayesian nonparametric model for spatially distributed multivariate binary data with application to a multidrug‐resistant tuberculosis (MDR‐TB) study (Q3465380) (← links)
• Spatial modelling of multinomial data with latent structure: an application to geographical mapping of human gene and haplotype frequencies (Q4512447) (← links)
• Analysis of clustered spatially correlated binary data using autologistic model and Bayesian method with an application to dental caries of 3–5-year-old children (Q5124959) (← links)
• How close and how much? Linking health outcomes to built environment spatial distributions (Q6104146) (← links)
• Spatiotemporal clustering using Gaussian processes embedded in a mixture model (Q6626407) (← links)