From Parameter Estimation to Dispersion of Nonstationary Gauss-Markov Processes.
Peida TianVictoria KostinaPublished in: ISIT (2019)
Keyphrases
- markov processes
- parameter estimation
- non stationary
- random fields
- em algorithm
- maximum likelihood
- least squares
- model selection
- markov random field
- expectation maximization
- approximate inference
- structure learning
- stochastic processes
- posterior distribution
- autoregressive
- parameter estimation algorithm
- generative model
- video sequences