Efficient geometric Markov chain Monte Carlo for nonlinear Bayesian inversion enabled by derivative-informed neural operators.
Lianghao CaoThomas O'Leary-RoseberryOmar GhattasPublished in: CoRR (2024)
Keyphrases
- markov chain monte carlo
- posterior distribution
- markov chain
- bayesian inference
- parameter estimation
- posterior probability
- generative model
- monte carlo
- markov chain monte carlo sampling
- particle filter
- fully bayesian
- probability distribution
- neural network
- particle filtering
- data association
- maximum a posteriori
- missing data
- feature selection