Objective Bayesian analysis of spatial data with measurement error

DOI10.1002/cjs.5550350206zbMath1129.62086OpenAlexW1994635819MaRDI QIDQ5442066

Victor De Oliveira

Publication date: 15 February 2008

Published in: Canadian Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/cjs.5550350206

Mathematics Subject Classification ID

Inference from spatial processes (62M30) Random fields; image analysis (62M40) Bayesian inference (62F15) Geostatistics (86A32)

Related Items (14)

Bayesian analysis for quantile smoothing spline ⋮ Gaussian process hyper-parameter estimation using parallel asymptotically independent Markov sampling ⋮ The effect of the nugget on Gaussian process emulators of computer models ⋮ Objective Bayesian analysis for autoregressive models with nugget effects ⋮ Objective Bayesian analysis for a spatial model with nugget effects ⋮ Saddlepoint condition on a predictor to reconfirm the need for the assumption of a prior distribution ⋮ Objective Bayesian analysis of geometrically anisotropic spatial data ⋮ Robust Gaussian stochastic process emulation ⋮ Objective Bayesian analysis for Gaussian hierarchical models with intrinsic conditional autoregressive priors ⋮ Scaled Gaussian Stochastic Process for Computer Model Calibration and Prediction ⋮ Constructing Priors that Penalize the Complexity of Gaussian Random Fields ⋮ Unnamed Item ⋮ Objective Bayesian analysis of spatial data with uncertain nugget and range parameters ⋮ Robust prediction interval estimation for Gaussian processes by cross-validation method

Cites Work

• Unnamed Item
• Unnamed Item
• Interpolation with uncertain spatial covariances: A Bayesian alternative to Kriging
• Interpolation of spatial data. Some theory for kriging
• Reference priors for shrinkage and smoothing parameters
• Statistical Methods for Spatial Data Analysis
• Modality of the restricted likelihood for spatial Gaussian random fields
• Bayesian Prediction of Transformed Gaussian Random Fields
• Adaptive Rejection Metropolis Sampling within Gibbs Sampling
• Objective Bayesian Analysis of Spatially Correlated Data
• ASYMPTOTICS OF ML ESTIMATOR FOR REGRESSION MODELS WITH A STOCHASTIC TREND COMPONENT

This page was built for publication: Objective Bayesian analysis of spatial data with measurement error