An alternative approach for distributed parameter estimation under Gaussian settings.
Subhro DasPublished in: CoRR (2022)
Keyphrases
- parameter estimation
- maximum likelihood
- least squares
- model selection
- em algorithm
- parameter estimation algorithm
- random fields
- markov random field
- statistical models
- parameter values
- maximum likelihood estimation
- posterior distribution
- approximate inference
- expectation maximization
- parameter estimates
- structure learning
- gibbs sampling
- estimation problems
- parameters estimation
- gaussian mixture
- covariance matrices
- likelihood function
- higher order
- gaussian mixture model
- machine learning