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FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large
  Datasets

FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets

23 May 2017
A. Zammit‐Mangion
Noel Cressie
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Papers citing "FRK: An R Package for Spatial and Spatio-Temporal Prediction with Large Datasets"

3 / 3 papers shown
Title
A sparse linear algebra algorithm for fast computation of prediction
  variances with Gaussian Markov random fields
A sparse linear algebra algorithm for fast computation of prediction variances with Gaussian Markov random fields
A. Zammit‐Mangion
J. Rougier
23
7
0
04 Jul 2017
Parallel inference for massive distributed spatial data using low-rank
  models
Parallel inference for massive distributed spatial data using low-rank models
Matthias Katzfuss
D. Hammerling
99
34
0
06 Feb 2014
spBayes for large univariate and multivariate point-referenced
  spatio-temporal data models
spBayes for large univariate and multivariate point-referenced spatio-temporal data models
Andrew O. Finley
Sudipto Banerjee
Alan E.Gelfand
KELM
41
278
0
30 Oct 2013
1