Asymptotic Normality of Maximum Likelihood and its Variational Approximation for Stochastic Blockmodels
Peter BickelDavid ChoiXiangyu ChangHai ZhangPublished in: CoRR (2012)
Keyphrases
- maximum likelihood
- variational approximation
- em algorithm
- expectation maximization
- parameter estimation
- approximate inference
- bayesian inference
- kullback leibler
- likelihood function
- mixture model
- cross entropy
- variational inference
- latent variables
- hyperparameters
- exponential family
- generative model
- maximum a posteriori
- variational bayes
- gaussian mixture model
- exact inference
- markov chain monte carlo
- gaussian distribution
- markov networks
- parameter learning
- posterior distribution
- topic models
- gaussian process
- bundle adjustment
- probabilistic inference