Modeling and emulation of nonstationary Gaussian fields
Geophysical and other natural processes often exhibit nonstationary covariances and this
feature is important for statistical models that attempt to emulate the physical process. A …
feature is important for statistical models that attempt to emulate the physical process. A …
Modeling and emulation of nonstationary Gaussian fields
D Nychka, D Hammerling, M Krock, A Wiens - arXiv preprint arXiv …, 2017 - arxiv.org
Geophysical and other natural processes often exhibit non-stationary covariances and this
feature is important to take into account for statistical models that attempt to emulate the …
feature is important to take into account for statistical models that attempt to emulate the …
[PDF][PDF] Modeling and emulation of nonstationary Gaussian fields. $
D Nychkaa, D Hammerlinga, M Krockb, A Wiensb - dnychka.github.io
Geophysical and other natural processes often exhibit nonstationary covariances and this
feature is important for statistical models that attempt to emulate the physical process. A …
feature is important for statistical models that attempt to emulate the physical process. A …
Modeling and emulation of nonstationary Gaussian fields
D Nychka, D Hammerling, M Krock… - Spatial Statistics, 2018 - ui.adsabs.harvard.edu
Geophysical and other natural processes often exhibit nonstationary covariances and this
feature is important for statistical models that attempt to emulate the physical process. A …
feature is important for statistical models that attempt to emulate the physical process. A …
Modeling and emulation of nonstationary Gaussian fields
D Nychka, D Hammerling, M Krock, A Wiens - arXiv e-prints, 2017 - ui.adsabs.harvard.edu
Geophysical and other natural processes often exhibit non-stationary covariances and this
feature is important to take into account for statistical models that attempt to emulate the …
feature is important to take into account for statistical models that attempt to emulate the …