Variational Gibbs Inference for Statistical Model Estimation from Incomplete Data.
Vaidotas SimkusBenjamin RhodesMichael U. GutmannPublished in: J. Mach. Learn. Res. (2023)
Keyphrases
- statistical model
- incomplete data
- bayesian networks
- statistical models
- learning bayesian networks
- missing data
- missing values
- em algorithm
- incomplete data sets
- facial shape
- maximum likelihood estimation
- optical flow
- statistical distribution
- hyperparameters
- active appearance models
- markov chain monte carlo
- maximum a posteriori
- structure learning
- bayesian inference
- parameter estimation
- markov random field