Application of Coreset in Spatial Modeling
Published:
Talk on uncertainty quantification for an echo state network with applications to spatiotemproal data.
Posts by Collection
portfolio
publications
talks
Uncertainty quantification for Echo state networks
Published:
Talk on an uncertainty quanification methodology for echo state networks with applications to spatiotemporal data.
Application of Coreset in Spatial Modeling
Published:
Talk on a coreset methodology for spatial data reduction.
REDS – Random Ensemble Deep Spatial prediction
Published:
Poster on a random neural-network method with uncertainty quantification for spatial prediction.
A spatially-aware boosting model for prediction with large data
Published:
Poster on a spatiotemporal boosting model for prediction of NO2 over the United States land locations.
A spatially-aware boosting model for prediction with large data
Published:
Poster on a spatiotemporal boosting model for prediction of NO2 over the United States land locations.
teaching
Stat 3500 - Introduction to Statistics II
Undergraduate course, University of Missouri Columbia, Department of Statistics, 2019
Topics
Linear regression, Design of experiments, Nonparametric statistics.
Stat 3500 - Introduction to Statistics II
Undergraduate course, University of Missouri Columbia, Department of Statistics, 2020
Topics
Linear regression, Design of experiments, Nonparametric statistics.