Fixed Rank Kriging with big data

Source code for reproducing the results in the ARSIA paper "Neural Methods for Amortised Statistical Inference"

Supplementary package for "Spatio-Temporal Statistics with R" by C.K. Wikle, A. Zammit-Mangion, and N. Cressie

Repository for reproducing results in paper "Spatial Bayesian Neural Networks"

Deep Compositional Spatial Models

Enhanced False Discovery Rate

Website with information on work done on the DECRA award "Deep space-time models for modelling complex environmental phenomena" DE180100203

An R-Software package for multi-variate spatio-temporal modelling

Integro-difference equation spatio-temporal modelling

Code for reproducing the application case study of the paper "Spherical Poisson Point Process Intensity Function Modeling and Estimation with Measure Transport" by James Ng and Andrew Zammit-Mangion

Deep IDE Models for Spatio-Temporal Forecasting

Reproducible code for the paper "Multi-Scale Process Modelling and Distributed Computation for Spatial Data"

Creates a wrapper for the SuiteSparse routines in C that us the Takahashi equations to compute the elements of the inverse of a sparse matrix at locations where the (permuted) Cholesky factor is no…

Reproducible code for Remote Sensing article

Discrete Global Grids in data frame format for use in R (and Fixed Rank Kriging in particular)

Bivariate modelling using the conditional approach

Copy of INLA repo for Travis CI

Supplement package for papers on atmospheric trace-gas inversion by Zammit-Mangion et al.

An R-Software package for visualising uncertainty in large-scale Gaussian systems

Yet another sparse linear algebraic routines package for R, with functions tailored for spatio-temporal modelling and inference with Gaussian Markov Random Fields.

Hamiltonian Monte Carlo sampler

Weighted Rank Squared Error Loss

A brainstorm on assimilation methods