Explaining the behavior of joint and marginal Monte Carlo estimators in latent variable models with independence assumptions.
Silia VitoratouIoannis NtzoufrasIrini MoustakiPublished in: Stat. Comput. (2016)
Keyphrases
- monte carlo
- latent variable models
- independence assumption
- latent variables
- markov chain
- real valued
- confidence intervals
- naive bayes
- hidden markov models
- particle filter
- conditional probabilities
- training data
- naive bayes classifier
- training set
- probability distribution
- graphical models
- latent dirichlet allocation
- decision trees