A Multiresolution Gaussian Process Model for the Analysis of Large Spatial Datasets

Approximate Bayesian inference for large spatial datasets using predictive process models

(2011) Jo Eidsvik et al.   COMPUTATIONAL STATISTICS & DATA ANALYSIS

A full scale approximation of covariance functions for large spatial data sets

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

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

Spatio-temporal smoothing and EM estimation for massive remote-sensing data sets

(2011) Matthias Katzfuss et al.   JOURNAL OF TIME SERIES ANALYSIS

Fixed rank kriging for very large spatial data sets

(2010) Noel Cressie et al.   JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY

A modeling approach for large spatial datasets

(2008) Michael L. Stein   Journal of the Korean Statistical Society