On posterior consistency of data assimilation with Gaussian process priors: the 2D Navier-Stokes equations.
Richard NicklEdriss S. TitiPublished in: CoRR (2023)
Keyphrases
- gaussian process
- bayesian framework
- data assimilation
- navier stokes equations
- gaussian processes
- hyperparameters
- anomaly detection
- simulation models
- kalman filter
- smart environments
- regression model
- approximate inference
- posterior probability
- latent variables
- boundary conditions
- generative model
- remote sensing
- semi supervised
- motion field
- prior knowledge
- model selection
- posterior distribution
- image sequences
- maximum a posteriori
- agent based simulations
- bayesian inference
- ambient intelligence
- simulation model
- agent based simulation
- prior information
- higher order
- probabilistic model