3 papers
stat.AP2025
Bayesian spatio-temporal disaggregation modeling using a diffusion-SPDE approach: a case study of Aerosol Optical Depth in India
Fernando Rodriguez Avellaneda, Paula Moraga
Accurate estimation of Aerosol Optical Depth (AOD) is crucial for understanding climate change and its impacts on public health, as aerosols are a measure of air quality conditions…
stat.CO2025
Accelerated Spatio-Temporal Bayesian Modeling for Multivariate Gaussian Processes
Lisa Gaedke-Merzhäuser, Vincent Maillou, Fernando Rodriguez Avellaneda +5
Multivariate Gaussian processes (GPs) offer a powerful probabilistic framework to represent complex interdependent phenomena. They pose, however, significant computational challeng…
stat.AP2025
Multivariate disaggregation modeling of air pollutants: a case-study of PM2.5, PM10 and ozone prediction in Portugal and Italy
Fernando Rodriguez Avellaneda, Erick A. Chacón-Montalván, Paula Moraga
Air pollution remains a critical environmental and public health challenge, demanding high-resolution spatial data to better understand its spatial distribution and impacts. This s…