Simulation of Non-Gaussian Correlated Random Variables, Stochastic Processes and Random Fields: Introducing the anySim R-Package for Environmental Applications and Beyond. - Document - Gale Academic OneFile
Introduction to Gaussian Processes
Mapping the Risk of Snakebite in Sri Lanka - A National Survey with Geospatial Analysis.
NHESS - The first version of the Pan-European Indoor Radon Map
Baseline Health Parameters of East Pacific Green Turtles at Southern California Foraging Grounds
Matérn Gaussian Processes on Graphs | Alexander Terenin
Tutorial 12.13 - Spatial and spatio-temporal models with INLA
Covariance regularity and $$\mathcal {H}$$ H -matrix approximation for rough random fields | SpringerLink
Kernel Cookbook
Sample marginal variance with 2000 samples of a Gaussian field with... | Download Scientific Diagram
Spatial regression in R part 2: INLA | LaptrinhX
Fast covariance estimation for sparse functional data | SpringerLink
Trading-off Data Fit and Complexity in Training Gaussian Processes with Multiple Kernels | SpringerLink
SPDE models in brms - brms - The Stan Forums
ρ c (h) versus |h| for the Matérn covariance function for different... | Download Scientific Diagram
Information | Free Full-Text | A New Methodology for Automatic Cluster-Based Kriging Using K-Nearest Neighbor and Genetic Algorithms | HTML
Spatial regression in R part 2: INLA | LaptrinhX
Gaussian process in greta (Matern covariance) - greta forum
Non-structured component variance (sigma^2 eps)
Efficient Closed-loop Maximization of Carbon Nanotube Growth Rate using Bayesian Optimization | Scientific Reports
Chapter 2 Introduction to spatial modeling | Advanced Spatial Modeling with Stochastic Partial Differential Equations Using R and INLA
Problem for accounting for spatial correlation with NNGP model - Modeling - The Stan Forums
Lab 9: Cluster and Cox processes | Melb2018
