Estimating the mean and variance of a high-dimensional normal distribution using a mixture prior.
Shyamalendu SinhaJeffrey D. HartPublished in: Comput. Stat. Data Anal. (2019)
Keyphrases
- normal distribution
- mixture distribution
- high dimensional
- standard deviation
- gaussian distribution
- covariance matrix
- probability density function
- random variables
- mixture model
- dirichlet prior
- low dimensional
- dimensionality reduction
- similarity search
- probability distribution
- prior knowledge
- nearest neighbor
- high dimensional data
- feature space
- score distributions
- maximum likelihood
- expectation maximization
- unsupervised learning
- objective function
- dirichlet process
- decision trees
- computer vision