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Modelling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal
  Data using FRK
v1v2v3 (latest)

Modelling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data using FRK

6 October 2021
Matthew Sainsbury-Dale
A. Zammit‐Mangion
Noel Cressie
ArXiv (abs)PDFHTML

Papers citing "Modelling Big, Heterogeneous, Non-Gaussian Spatial and Spatio-Temporal Data using FRK"

3 / 3 papers shown
Title
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
LatticeVision: Image to Image Networks for Modeling Non-Stationary Spatial Data
Antony Sikorski
Michael Ivanitskiy
Nathan Lenssen
Douglas Nychka
Daniel McKenzie
DiffM
441
0
0
14 May 2025
Normalizing Basis Functions: Approximate Stationary Models for Large
  Spatial Data
Normalizing Basis Functions: Approximate Stationary Models for Large Spatial Data
Antony Sikorski
Daniel McKenzie
Douglas Nychka
217
3
0
22 May 2024
deform: An R Package for Nonstationary Spatial Gaussian Process Models
  by Deformations and Dimension Expansion
deform: An R Package for Nonstationary Spatial Gaussian Process Models by Deformations and Dimension Expansion
Benjamin D. Youngman
48
0
0
09 Nov 2023
1