132 citations · 343 across the 32 of their papers we have counts for
5 papers · 1 filter
Bayesian spatial modelling of terrestrial radiation in Switzerland
Christophe L. Folly, Garyfallos Konstantinoudis, Antonella Mazzei-Abba +4
The geographic variation of terrestrial radiation can be exploited in epidemiological studies of the health effects of protracted low-dose exposure. Various methods have been appli…
Asymptotically Equivalent Prediction in Multivariate Geostatistics
François Bachoc, Emilio Porcu, Moreno Bevilacqua +2
Cokriging is the common method of spatial interpolation (best linear unbiased prediction) in multivariate geostatistics. While best linear prediction has been well understood in un…
Identification of Dominant Features in Spatial Data
Roman Flury, Florian Gerber, Bernhard Schmid +1
Dominant features of spatial data are connected structures or patterns that emerge from location-based variation and manifest at specific scales or resolutions. To identify dominan…
Multiresolution Decomposition of Areal Count Data
Roman Flury, Reinhard Furrer
Multiresolution decomposition is commonly understood as a procedure to capture scale-dependent features in random signals. Such methods were first established for image processing…
Maximum Likelihood Estimation of Spatially Varying Coefficient Models for Large Data with an Application to Real Estate Price Prediction
Jakob A. Dambon, Fabio Sigrist, Reinhard Furrer
In regression models for spatial data, it is often assumed that the marginal effects of covariates on the response are constant over space. In practice, this assumption might often…