Multilevel Markov Chain Monte Carlo for Bayesian inverse problems for Navier Stokes equation with Lagrangian Observations.
Juntao YangPublished in: CoRR (2024)
Keyphrases
- markov chain monte carlo
- navier stokes
- inverse problems
- posterior distribution
- numerical simulations
- image reconstruction
- posterior probability
- global optimization
- bayesian inference
- markov chain
- parameter estimation
- convex optimization
- generative model
- maximum a posteriori
- computational fluid dynamics
- fluid dynamics
- optimization methods
- velocity field
- monte carlo
- approximate inference
- particle filter
- optimization problems
- partial differential equations
- bayesian framework
- bayesian networks
- hyperparameters
- data association
- probability distribution
- latent variables
- particle filtering
- simulated annealing
- optimal solution
- maximum likelihood
- probabilistic model
- parameter space
- image segmentation
- prior information
- gaussian process
- graphical models
- high dimensional