44 citations · 78 across the 22 of their papers we have counts for
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stat.ML2019★ 44 cited
Deep Integro-Difference Equation Models for Spatio-Temporal Forecasting
Andrew Zammit-Mangion, Christopher K. Wikle
Integro-difference equation (IDE) models describe the conditional dependence between the spatial process at a future time point and the process at the present time point through an…
stat.ML2019
Comparison of Deep Neural Networks and Deep Hierarchical Models for Spatio-Temporal Data
Christopher K. Wikle
Spatio-temporal data are ubiquitous in the agricultural, ecological, and environmental sciences, and their study is important for understanding and predicting a wide variety of pro…