Sparsity in nonlinear dynamic spatiotemporal models using implied advection
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Publication:6625866
DOI10.1002/env.2456zbMath1545.6291MaRDI QIDQ6625866
Publication date: 28 October 2024
Published in: Environmetrics (Search for Journal in Brave)
advection-diffusion equationdiscount factornearest neighbor Gaussian processconditionally linear dynamic model
Cites Work
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- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- A general science-based framework for dynamical spatio-temporal models
- Bayesian forecasting and dynamic models.
- Assessing probabilistic forecasts of multivariate quantities, with an application to ensemble predictions of surface winds
- A dynamic nonstationary spatio-temporal model for short term prediction of precipitation
- Nonseparable dynamic nearest neighbor Gaussian process models for large spatio-temporal data with an application to particulate matter analysis
- MODELS FOR TWO-DIMENSIONAL STATIONARY STOCHASTIC PROCESSES
- Gaussian Predictive Process Models for Large Spatial Data Sets
- Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems
- DATA AUGMENTATION AND DYNAMIC LINEAR MODELS
- Blur-generated non-separable space–time models
- Gaussian Markov Random Fields
- A dimension-reduced approach to space-time Kalman filtering
- An Ensemble Kalman Filter and Smoother for Satellite Data Assimilation
- Stochastic Partial Differential Equation Based Modelling of Large Space–Time Data Sets
- Polynomial nonlinear spatio‐temporal integro‐difference equation models
- A Kernel-Based Spatio-Temporal Dynamical Model for Nowcasting Weather Radar Reflectivities
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