Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes
Authors:
Open Access
- 15 November 2025
- conference paper
- Published by Association for Computing Machinery (ACM)
- p. 949-972
Abstract
No abstract availableAll Related Versions
Funding Information
- Swiss National Science Foundation (209358, 200021)
This publication has 31 references indexed in Scilit:
- The underlying mechanisms of PM2.5 and O3 synergistic pollution in East China: Photochemical and heterogeneous interactionsScience of The Total Environment, 2023
- Parallelized integrated nested Laplace approximations for fast Bayesian inferenceStatistics and Computing, 2022
- Computational advances for spatio-temporal multivariate environmental modelsComputational Statistics, 2021
- A joint Bayesian space–time model to integrate spatially misaligned air pollution data in R‐INLAEnvironmetrics, 2020
- Evaluating a Bayesian modelling approach (INLA-SPDE) for environmental mappingScience of The Total Environment, 2017
- Air pollution and public health: emerging hazards and improved understanding of riskEnvironmental Geochemistry and Health, 2015
- Bayesian computing with INLA: New featuresComputational Statistics & Data Analysis, 2013
- Fast Methods for Computing Selected Elements of the Green’s Function in Massively Parallel Nanoelectronic Device Simulations2013
- MPI for PythonJournal of Parallel and Distributed Computing, 2005
- Solving unsymmetric sparse systems of linear equations with PARDISOFuture Generation Computer Systems, 2004