Variational State and Parameter Estimation.
Jarrad CourtsJohannes N. HendriksAdrian WillsThomas B. SchönBrett NinnessPublished in: CoRR (2020)
Keyphrases
- parameter estimation
- maximum likelihood
- least squares
- markov random field
- model selection
- statistical models
- em algorithm
- parameter estimation algorithm
- random fields
- maximum likelihood estimation
- posterior distribution
- expectation maximization
- parameter values
- approximate inference
- estimation problems
- structure learning
- model fitting
- parameter estimates
- higher order
- gibbs sampling
- probabilistic model
- parameters estimation