Asymptotic theory for maximum likelihood in nonparametric mixture models.
Sara A. van de GeerPublished in: Comput. Stat. Data Anal. (2003)
Keyphrases
- mixture model
- maximum likelihood
- em algorithm
- density estimation
- expectation maximization
- gaussian mixture model
- parameter estimation
- probabilistic model
- dirichlet process
- likelihood function
- hyperparameters
- maximum likelihood estimation
- exponential family
- unsupervised learning
- model selection
- probability density function
- gaussian distribution
- variational inference
- mixture modeling
- maximum a posteriori
- gaussian mixture
- language model
- prior knowledge
- feature selection
- computer vision
- data sets