Pages that link to "Item:Q3008861"

The following pages link to A Hierarchical Bayesian Model for Spatial Prediction of Multivariate Non-Gaussian Random Fields (Q3008861):

Displaying 17 items.

• Hierarchical Poisson models for spatial count data (Q391903) (← links)
• Bayesian spatial prediction for discrete closed skew Gaussian random field (Q638573) (← links)
• Bayesian modelling of spatial data using Markov random fields, with application to elemental composition of forest soil (Q862444) (← links)
• Modeling and prediction of multivariate space-time random fields (Q957133) (← links)
• Residual-based specification of a hidden random field included in a hierarchical spatial model (Q1020747) (← links)
• Spatial prediction of categorical variables: the Bayesian maximum entropy approach (Q1402976) (← links)
• Multivariate geostatistical mapping of radioactive contamination in the Maddalena Archipelago (Sardinia, Italy): spatial special issue (Q1621240) (← links)
• Modeling skewed spatial data using a convolution of Gaussian and log-Gaussian processes (Q1631562) (← links)
• Spatial expectile predictions for elliptical random fields (Q1657810) (← links)
• Multivariate transformed Gaussian processes (Q2195526) (← links)
• Additive multivariate Gaussian processes for joint species distribution modeling with heterogeneous data (Q2226688) (← links)
• A centered bivariate spatial regression model for binary data with an application to presettlement vegetation data in the midwestern United States (Q2348812) (← links)
• An Automated MCEM Algorithm for Hierarchical Models with Multivariate and Multitype Response Variables (Q2931567) (← links)
• (Q4258554) (← links)
• Hierarchical Bayesian models for predicting spatially correlated curves (Q4613936) (← links)
• Hierarchical Spatial Modeling and Prediction of Multiple Soil Nutrients and Carbon Concentrations (Q5451157) (← links)
• A family of parsimonious mixtures of multivariate Poisson-lognormal distributions for clustering multivariate count data (Q6541610) (← links)