Nonstationary Gauss-Markov Processes: Parameter Estimation and Dispersion.
Peida TianVictoria KostinaPublished in: IEEE Trans. Inf. Theory (2021)
Keyphrases
- parameter estimation
- non stationary
- gauss markov
- random fields
- maximum likelihood
- markov random field
- model selection
- least squares
- expectation maximization
- em algorithm
- image restoration
- approximate inference
- parameter estimation algorithm
- estimation problems
- structure learning
- posterior distribution
- video sequences
- parameter estimates
- probability distribution
- graphical models
- higher order