Coupling the reduced-order model and the generative model for an importance sampling estimator.
Xiaoliang WanShuangqing WeiPublished in: J. Comput. Phys. (2020)
Keyphrases
- generative model
- importance sampling
- reduced order model
- kalman filter
- kalman filtering
- markov chain monte carlo
- probabilistic model
- particle filter
- object tracking
- bayesian framework
- particle filtering
- posterior probability
- power system
- prior knowledge
- conditional random fields
- em algorithm
- dynamic model
- monte carlo
- mean shift
- semi supervised
- maximum likelihood
- graphical models
- regression model
- topic models
- approximate inference
- higher order
- hidden markov models