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stat.AP2024★ 1 cited
Unsupervised anomaly detection in spatio-temporal stream network sensor data
Edgar Santos-Fernandez, Jay M. Ver Hoef, Erin E. Peterson +6
The use of in-situ digital sensors for water quality monitoring is becoming increasingly common worldwide. While these sensors provide near real-time data for science, the data are…
stat.AP2018
Comparing Spatial Regression to Random Forests for Large Environmental Data Sets
Eric W. Fox, Jay M. Ver Hoef, Anthony R. Olsen
Environmental data may be "large" due to number of records, number of covariates, or both. Random forests has a reputation for good predictive performance when using many covariate…