Fast, Scalable Approximations to Posterior Distributions in Extended Latent Gaussian Models.
Alex StringerPatrick BrownJamie StaffordPublished in: J. Comput. Graph. Stat. (2023)
Keyphrases
- posterior distribution
- latent variables
- gaussian model
- gaussian distribution
- expectation maximization
- conditional independence
- random variables
- probabilistic model
- bayesian framework
- probability distribution
- parameter estimation
- hyperparameters
- prior knowledge
- mixture model
- approximate inference
- posterior probability
- gaussian mixture model
- sequential monte carlo methods
- image intensity
- skin color
- closed form
- topic models
- maximum a posteriori
- image processing
- graphical models
- text mining
- semi supervised
- support vector