Tensor-based Methods for Sequential State and Parameter Estimation in State Space Models.
Yiran ZhaoTiangang CuiPublished in: CoRR (2023)
Keyphrases
- parameter estimation
- statistical models
- state space
- estimation problems
- model selection
- random fields
- least squares
- model fitting
- expectation maximization
- gibbs sampling
- maximum likelihood
- em algorithm
- approximate inference
- maximum likelihood estimation
- dynamical systems
- parameter learning
- image processing
- parameter estimation algorithm
- parameter values
- markov chain
- markov random field
- higher order
- probabilistic model
- bayesian networks