Ontology highlight
ABSTRACT:
SUBMITTER: Datta A
PROVIDER: S-EPMC5927603 | biostudies-literature | 2016
REPOSITORIES: biostudies-literature
Datta Abhirup A Banerjee Sudipto S Finley Andrew O AO Gelfand Alan E AE
Journal of the American Statistical Association 20160818 514
Spatial process models for analyzing geostatistical data entail computations that become prohibitive as the number of spatial locations become large. This article develops a class of highly scalable nearest-neighbor Gaussian process (NNGP) models to provide fully model-based inference for large geostatistical datasets. We establish that the NNGP is a well-defined spatial process providing legitimate finite-dimensional Gaussian densities with sparse precision matrices. We embed the NNGP as a spar ...[more]