Distributed Parameter Estimation under Gaussian Observation Noises.
Jiaqi YanHideaki IshiiPublished in: CoRR (2023)
Keyphrases
- parameter estimation
- maximum likelihood
- markov random field
- random fields
- em algorithm
- statistical models
- least squares
- posterior distribution
- model selection
- parameter values
- parameter estimation algorithm
- expectation maximization
- parameters estimation
- maximum likelihood estimation
- structure learning
- model fitting
- gibbs sampling
- estimation problems
- high dimensional
- gaussian mixture model
- experimental data
- gaussian distribution
- likelihood function
- parameter estimates
- three dimensional