The role of the range parameter for estimation and prediction in geostatistics

From MaRDI portal
Publication:5411048

DOI10.1093/biomet/ass079zbMath1284.62590arXiv1108.1851OpenAlexW2102618813MaRDI QIDQ5411048

Cari G. Kaufman, Benjamin A. Shaby

Publication date: 22 April 2014

Published in: Biometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1108.1851




Related Items (26)

Asymptotic near-efficiency of the ``Gibbs-energy and empirical-variance estimating functions for fitting Matérn models. I: Densely sampled processesA Fused Gaussian Process Model for Very Large Spatial DataUncertainty Quantification Using the Nearest Neighbor Gaussian ProcessCross-validation estimation of covariance parameters under fixed-domain asymptoticsAsymptotic near-efficiency of the ``Gibbs-energy (GE) and empirical-variance estimating functions for fitting Matérn models. - II: accounting for measurement errors via ``Conditional GE meanSpace-Time Estimation and Prediction under Infill Asymptotics with Compactly Supported Covariance FunctionsAsymptotic properties of the maximum likelihood and cross validation estimators for transformed Gaussian processesOptimal change point detection in Gaussian processesNumerical instability of calculating inverse of spatial covariance matricesFixed-domain asymptotic properties of maximum composite likelihood estimators for Gaussian processesEstimating the parameters of some common Gaussian random fields with nugget under fixed-domain asymptoticsFast Bayesian inference of block nearest neighbor Gaussian models for large dataEstimation and prediction using generalized Wendland covariance functions under fixed domain asymptoticsIdentifying crash risk factors and high risk locations on an interstate networkUnifying compactly supported and Matérn covariance functions in spatial statisticsComposite likelihood estimation for a Gaussian process under fixed domain asymptoticsLocal inversion-free estimation of spatial Gaussian processesSpatiotemporal lagged models for variable rate irrigation in agricultureHypothesis testing for the smoothness parameter of Matérn covariance model on a regular gridOn fixed-domain asymptotics, parameter estimation and isotropic Gaussian random fields with Matérn covariance functionsOn the inference of applying Gaussian process modeling to a deterministic functionMaximum likelihood estimation for Gaussian processes under inequality constraintsEstimation and prediction of Gaussian processes using generalized Cauchy covariance model under fixed domain asymptoticsOn information about covariance parameters in Gaussian Matérn random fieldsComments on: ``Comparing and selecting spatial predictors using local criteriaBayesian fixed-domain asymptotics for covariance parameters in a Gaussian process model







This page was built for publication: The role of the range parameter for estimation and prediction in geostatistics