Likelihood-free approximate Gibbs sampling.
G. S. RodriguesDavid J. NottScott A. SissonPublished in: Stat. Comput. (2020)
Keyphrases
- gibbs sampling
- markov chain
- topic models
- parameter estimation
- maximum likelihood
- em algorithm
- approximate inference
- latent dirichlet allocation
- expectation maximization
- belief networks
- markov chain monte carlo
- exact inference
- graphical models
- posterior probability
- machine learning
- cross validation
- probabilistic model