National Aeronautics and Space Administration, Jet Propulsion Laboratory, USA
Uncertainty quantification for analysis and global prediction of carbon dioxide using data from the Orbiting Carbon Observatory-2 satellite
Spatial statistical modelling to estimate CO2 in atmospheric columns at any location on the globe, followed by estimation of near-surface fluxes and a statistical analysis of the uncertainties associated with these estimates. Learn more about NASA.
University of Missouri, Department of Statistics and Data Science, USA
Spatio-temporal statistics for US federal agencies, particularly the Census Bureau, and for official statistics surveys
Developing methodological research and applied scientific knowledge for official statistics through the use of hierarchical spatio-temporal statistical modelling. Focus is on the American Community Survey conducted by the US Census Bureau. Learn more about University of Missouri, Department of Statistics and Data Science.
Academia Sinica, Institute of Statistical Science, Taiwan
Enhanced False Discovery Rate (EFDR) for detecting change
Transforming images to wavelet space and using EFDR to test the presence of signals in background noise. Learn more about Academia Sinica, Institute of Statistical Science.
King Abdullah University of Science and Technology (KAUST), Statistics Program, Saudi Arabia
Neural inference and amortisation for spatial and spatio-temporal statistics
Methodological and applications-oriented research on fast statistical inference with neural networks. The focus is on amortisation following training of the neural network. Learn more about KAUST Statistics Program.
University of Bristol, School of Geographical Sciences, School of Chemistry, and School of Geographical Sciences, UK
Developing methods for estimating emissions from mole fraction data of trace gases