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Deep integro-difference equation models for spatio-temporal forecasting

Andrew Zammit-Mangion, Christopher K. Wikle

2020Spatial Statistics41 citationsDOIOpen Access PDF

Topics & Concepts

Computer scienceKalman filterOperator (biology)Convolution (computer science)Key (lock)Probabilistic logicConvolutional neural networkNonlinear systemProcess (computing)Artificial intelligenceRadarArtificial neural networkData assimilationFilter (signal processing)Point processMachine learningData miningAlgorithmStatistical modelData modelingPoint (geometry)Deep learningTrajectoryUncertainty quantificationConditional probability distributionEconometricsLinear modelEnsemble forecastingMathematical optimizationBig dataMeteorological Phenomena and SimulationsSoil Geostatistics and MappingEcosystem dynamics and resilience
Deep integro-difference equation models for spatio-temporal forecasting | Litcius