Constructing Priors that Penalize the Complexity of Gaussian Random Fields

Penalising Model Component Complexity: A Principled, Practical Approach to Constructing Priors

(2017) Daniel Simpson et al.   STATISTICAL SCIENCE

Estimation of a non-stationary model for annual precipitation in southern Norway using replicates of the spatial field

(2015) Rikke Ingebrigtsen et al.   Spatial Statistics

Objective Bayesian Analysis of Geometrically Anisotropic Spatial Data

(2013) Hannes Kazianka   JOURNAL OF AGRICULTURAL BIOLOGICAL AND ENVIRONMENTAL STATISTICS

Spatial models with explanatory variables in the dependence structure

(2013) Rikke Ingebrigtsen et al.   Spatial Statistics

Objective Bayesian analysis of spatial data with uncertain nugget and range parameters

(2012) Hannes Kazianka et al.   CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE

An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach

(2011) Finn Lindgren et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

On the consistent separation of scale and variance for Gaussian random fields

(2010) Ethan Anderes   ANNALS OF STATISTICS

The formal definition of reference priors

(2009) James O. Berger et al.   ANNALS OF STATISTICS

Adaptive Bayesian estimation using a Gaussian random field with inverse Gamma bandwidth

(2009) A. W. van der Vaart et al.   ANNALS OF STATISTICS

Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations

(2009) Håvard Rue et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY