A spatially-aware boosting model for prediction with large data
Talk, FSU, Department of Statistics, Tallahassee, FL
Poster on a spatiotemporal boosting model for prediction of NO2 over the United States land locations.
Talks and presentations
A spatially-aware boosting model for prediction with large data
Talk, NIEHS, Durham, NC
Poster on a spatiotemporal boosting model for prediction of NO2 over the United States land locations.
REDS – Random Ensemble Deep Spatial prediction
Talk, ICSA, online
Poster on a random neural-network method with uncertainty quantification for spatial prediction.
Application of Coreset in Spatial Modeling
Talk, ICSA, online
Talk on a coreset methodology for spatial data reduction.
Uncertainty quantification for Echo state networks
Talk, JSM, online
Talk on an uncertainty quanification methodology for echo state networks with applications to spatiotemporal data.
Application of Coreset in Spatial Modeling
Talk, JSM, online
Talk on uncertainty quantification for an echo state network with applications to spatiotemproal data.