Pages that link to "Item:Q2370528"

The following pages link to Bayesian reference analysis for Gaussian Markov random fields (Q2370528):

Displaying 17 items.

• Reference priors for linear models with general covariance structures (Q433785) (← links)
• Bayesian reference analysis for exponential power regression models (Q499755) (← links)
• On computational aspects of Bayesian spatial models: influence of the neighboring structure in the efficiency of MCMC algorithms (Q638046) (← links)
• Maximum likelihood and restricted maximum likelihood estimation for a class of Gaussian Markov random fields (Q641761) (← links)
• Bayesian modelling of spatial data using Markov random fields, with application to elemental composition of forest soil (Q862444) (← links)
• Objective Bayesian analysis for Gaussian hierarchical models with intrinsic conditional autoregressive priors (Q1757670) (← links)
• Articulated estimator random field and geometrical approach applied in system identification (Q1757676) (← links)
• Efficient likelihood computations for some multivariate Gaussian Markov random fields (Q1795579) (← links)
• Objective Bayesian analysis for exponential power regression models (Q1940902) (← links)
• Fast and scalable computations for Gaussian hierarchical models with intrinsic conditional autoregressive spatial random effects (Q2242039) (← links)
• The limiting distribution of the Gibbs sampler for the intrinsic conditional autoregressive model (Q2330484) (← links)
• Measuring the vulnerability of the Uruguayan population to vector-borne diseases via spatially hierarchical factor models (Q2428748) (← links)
• Utilizing Gaussian Markov Random Field Properties of Bayesian Animal Models (Q3064265) (← links)
• Dynamic Multiscale Spatiotemporal Models for Gaussian Areal Data (Q3107198) (← links)
• (Q5159450) (← links)
• Bayesian Spatial Transformation Models with Applications in Neuroimaging Data (Q5408031) (← links)
• Bayesian model selection for generalized linear mixed models (Q6589271) (← links)