TY - JOUR
T1 - Spatial matérn fields driven by non-gaussian noise
AU - Bolin, David
N1 - Generated from Scopus record by KAUST IRTS on 2020-05-04
PY - 2014/1/1
Y1 - 2014/1/1
N2 - The article studies non-Gaussian extensions of a recently discovered link between certain Gaussian random fields, expressed as solutions to stochastic partial differential equations (SPDEs), and Gaussian Markov random fields. The focus is on non-Gaussian random fields with Matérn covariance functions, and in particular, we show how the SPDE formulation of a Laplace moving-average model can be used to obtain an efficient simulation method as well as an accurate parameter estimation technique for the model. This should be seen as a demonstration of how these techniques can be used, and generalizations to more general SPDEs are readily available. © 2013 Board of the Foundation of the Scandinavian Journal of Statistics.
AB - The article studies non-Gaussian extensions of a recently discovered link between certain Gaussian random fields, expressed as solutions to stochastic partial differential equations (SPDEs), and Gaussian Markov random fields. The focus is on non-Gaussian random fields with Matérn covariance functions, and in particular, we show how the SPDE formulation of a Laplace moving-average model can be used to obtain an efficient simulation method as well as an accurate parameter estimation technique for the model. This should be seen as a demonstration of how these techniques can be used, and generalizations to more general SPDEs are readily available. © 2013 Board of the Foundation of the Scandinavian Journal of Statistics.
UR - http://doi.wiley.com/10.1111/sjos.12046
UR - http://www.scopus.com/inward/record.url?scp=84905736329&partnerID=8YFLogxK
U2 - 10.1111/sjos.12046
DO - 10.1111/sjos.12046
M3 - Article
SN - 1467-9469
VL - 41
SP - 557
EP - 579
JO - Scandinavian Journal of Statistics
JF - Scandinavian Journal of Statistics
IS - 3
ER -