19 citations · 42 across the 10 of their papers we have counts for
11 papers
Highly Multivariate Large-scale Spatial Stochastic Processes -- A Cross-Markov Random Field Approach
Xiaoqing Chen, Peter Diggle, James V. Zidek +1
Key challenges in the analysis of highly multivariate large-scale spatial stochastic processes, where both the number of components (p) and spatial locations (n) can be large, incl…
On the Stochasticity of Reanalysis Outputs of 4D-Var
Xiaoqing Chen, Ross Bannister, Gavin Shaddick +1
This work is motivated by the ECMWF CAMS reanalysis data, a valuable resource for researchers in environmental-related areas, as they contain the most updated atmospheric compositi…
Data integration for high-resolution, continental-scale estimation of air pollution concentrations
Matthew L. Thomas, Gavin Shaddick, Daniel Simpson +2
Air pollution constitutes the highest environmental risk factor in relation to heath. In order to provide the evidence required for health impact analyses, to inform policy and to…
Global Household Energy Model: A Multivariate Hierarchical Approach to Estimating Trends in the Use of Polluting and Clean Fuels for Cooking
Oliver Stoner, Gavin Shaddick, Theo Economou +5
In 2017 an estimated 3 billion people used polluting fuels and technologies as their primary cooking solution, with 3.8 million deaths annually attributed to household exposure to…
A general theory for preferential sampling in environmental networks
Joe Watson, James V. Zidek, Gavin Shaddick
This paper presents a general model framework for detecting the preferential sampling of environmental monitors recording an environmental process across space and/or time. This is…
Data Integration Model for Air Quality: A Hierarchical Approach to the Global Estimation of Exposures to Ambient Air Pollution
Gavin Shaddick, Matthew L. Thomas, Amelia Jobling +14
Air pollution is a major risk factor for global health, with both ambient and household air pollution contributing substantial components of the overall global disease burden. One…