Particle filtering based parameter estimation for systems with output-error type model structures.
Jie DingJiazhong ChenJinxing LinLijuan WanPublished in: J. Frankl. Inst. (2019)
Keyphrases
- state space
- parameter estimation
- particle filter
- particle filtering
- markov random field
- em algorithm
- maximum likelihood
- model selection
- parameter estimation algorithm
- kalman filter
- visual tracking
- random fields
- experimental data
- least squares
- state estimation
- probabilistic model
- expectation maximization
- higher order
- closed form
- probability distribution
- markov chain monte carlo
- likelihood function