An Alternative Approach for Distributed Parameter Estimation Under Gaussian Settings.
Subhro DasPublished in: MLSP (2022)
Keyphrases
- parameter estimation
- maximum likelihood
- markov random field
- statistical models
- least squares
- em algorithm
- model selection
- parameter values
- parameter estimation algorithm
- random fields
- expectation maximization
- model fitting
- approximate inference
- maximum likelihood estimation
- parameters estimation
- covariance matrices
- gaussian distribution
- structure learning
- parameter estimates
- estimation problems
- gaussian mixture model
- posterior distribution
- data mining
- maximum a posteriori
- marginal distributions
- gibbs sampling
- image sequences