Showing stat.MLShow all
2 papers · 1 filter
stat.ML2018
Deep Echo State Networks with Uncertainty Quantification for Spatio-Temporal Forecasting
Patrick L. McDermott, Christopher K. Wikle
Long-lead forecasting for spatio-temporal systems can often entail complex nonlinear dynamics that are difficult to specify it a priori. Current statistical methodologies for model…
stat.ML2017
An Ensemble Quadratic Echo State Network for Nonlinear Spatio-Temporal Forecasting
Patrick L. McDermott, Christopher K. Wikle
Spatio-temporal data and processes are prevalent across a wide variety of scientific disciplines. These processes are often characterized by nonlinear time dynamics that include in…