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stat.ME2026
Spatially continuous modelling of aggregated outcome data
Stephen Jun Villejo, Peter Diggle, Finn Lindgren +5
This work develops a block aggregation approach to spatial estimation and prediction when the response is observed at a coarse spatial scale, for example as counts of events in adm…
stat.ME2024
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…