Parameter estimation for partially observed nonlinear stochastic system.
Chao WeiChaobing HePublished in: Int. J. Comput. Sci. Math. (2019)
Keyphrases
- parameter estimation
- partially observed
- maximum likelihood
- em algorithm
- markov random field
- least squares
- statistical models
- model selection
- parameter estimation algorithm
- maximum likelihood estimation
- random fields
- posterior distribution
- expectation maximization
- parameter values
- approximate inference
- estimation problems
- bayesian model selection
- parameter estimates
- model fitting
- structure learning
- gibbs sampling
- moving objects
- bayesian networks
- parameters estimation
- stochastic context free grammars
- similarity measure
- machine learning