Parameter Estimation of the Normal Ratio Distribution with Variational Inference.
Nizar BouhlelFélix MercierAngelina El GhaziriDavid RousseauPublished in: EUSIPCO (2023)
Keyphrases
- parameter estimation
- variational inference
- posterior distribution
- exponential family
- maximum likelihood
- approximate inference
- statistical models
- least squares
- markov chain monte carlo
- expectation maximization
- model selection
- exact inference
- variational methods
- markov random field
- probability distribution
- em algorithm
- parameter values
- bayesian inference
- random fields
- latent dirichlet allocation
- mixture model
- factor graphs
- probabilistic graphical models
- log likelihood
- topic models
- probabilistic model
- hyperparameters
- feature selection
- dynamic bayesian networks
- maximum a posteriori
- gaussian process
- markov networks
- probability density function
- parameter learning