New Results on Parameter Estimation via Dynamic Regressor Extension and Mixing: Continuous and Discrete-time Cases.
Romeo OrtegaStanislav AranovskiyAnton A. PyrkinAlessandro AstolfiAlexey A. BobtsovPublished in: CoRR (2019)
Keyphrases
- parameter estimation
- maximum likelihood
- em algorithm
- least squares
- statistical models
- markov random field
- model selection
- parameter estimation algorithm
- random fields
- expectation maximization
- parameter values
- posterior distribution
- maximum likelihood estimation
- dynamic environments
- markov chain
- model fitting
- parameters estimation
- structure learning
- statistical model
- shape model
- probability distribution
- approximate inference
- likelihood function
- estimation problems
- moving objects