A stochastic locally diffusive model with neural network-based deformations for global sea surface temperature
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Publication:6543845
DOI10.1002/sta4.431MaRDI QIDQ6543845
Wenjing Hu, Geir-Arne Fuglstad, Stefano Castruccio
Publication date: 27 May 2024
Published in: Stat (Search for Journal in Brave)
neural networksstochastic partial differential equationssea surface temperaturelocally diffusive model
Cites Work
- Unnamed Item
- An Explicit Link between Gaussian Fields and Gaussian Markov Random Fields: The Stochastic Partial Differential Equation Approach
- Strictly and non-strictly positive definite functions on spheres
- Global space-time models for climate ensembles
- Spatial models generated by nested stochastic partial differential equations, with an application to global ozone mapping
- Nonstationary covariance models for global data
- Interpolation of spatial data. Some theory for kriging
- Reducing storage of global wind ensembles with stochastic generators
- Spherical process models for global spatial statistics
- Compression of climate simulations with a nonstationary global spatiotemporal SPDE model
- A multivariate global spatiotemporal stochastic generator for climate ensembles
- Non-stationary Cross-Covariance Models for Multivariate Processes on a Globe
- Deterministic Nonperiodic Flow
- Compression and Conditional Emulation of Climate Model Output
- Constructing Priors that Penalize the Complexity of Gaussian Random Fields
- Stochastic Processes on a Sphere
- ON STATIONARY PROCESSES IN THE PLANE
- Modeling Temporally Evolving and Spatially Globally Dependent Data
- Beyond axial symmetry: an improved class of models for global data
- An evolutionary spectrum approach to incorporate large-scale geographical descriptors on global processes
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