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20112023
most citedPredicting missing values in spatio-temporal satellite data

132 citations · 343 across the 32 of their papers we have counts for

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6 papers · 1 filter

stat.AP2020

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…

stat.AP2016★ 132 cited

Predicting missing values in spatio-temporal satellite data

Florian Gerber, Reinhard Furrer, Gabriela Schaepman-Strub +2

Remotely sensed data are sparse, which means that data have missing values, for instance due to cloud cover. This is problematic for applications and signal processing algorithms t…

stat.AP2014★ 4 cited

Hierarchical modelling of faecal egg counts to assess anthelmintic efficacy

Michaela Paul, Paul R. Torgerson, Johan Höglund +1

Counting the number of parasite eggs in faecal samples is a widely used diagnostic method to evaluate parasite burden. Typically a sub-sample of the diluted faeces is examined for…

stat.AP2013★ 1 cited

Intelligent Compaction and Quality Assurance of Roller Measurement Values utilizing Backfitting and Multiresolution Scale Space Analysis

Daniel K. Heersink, Reinhard Furrer, Mike A. Mooney

Modern earthwork compaction rollers collect location and compaction information as they traverse a compaction site. These roller measurement values present a challenging spatio-tem…

stat.AP2013★ 1 cited

Spatial Backfitting of Roller Measurement Values from a Florida Test Bed

Daniel K. Heersink, Reinhard Furrer, Mike A. Mooney

Modern earthwork compaction rollers collect location and compaction information as they traverse a compaction site. These data are indirectly observed through non-linear measuremen…

stat.AP2011★ 61 cited

A spatial analysis of multivariate output from regional climate models

Stephan R. Sain, Reinhard Furrer, Noel Cressie

Climate models have become an important tool in the study of climate and climate change, and ensemble experiments consisting of multiple climate-model runs are used in studying and…