Normal variance mixtures: Distribution, density and parameter estimation.
Erik HintzMarius HofertChristiane LemieuxPublished in: Comput. Stat. Data Anal. (2021)
Keyphrases
- parameter estimation
- expectation maximization
- maximum likelihood
- model selection
- em algorithm
- statistical models
- markov random field
- least squares
- mixture model
- random fields
- parameter values
- parameter estimation algorithm
- maximum likelihood estimation
- gaussian distribution
- normal distribution
- heavy tailed
- posterior distribution
- approximate inference
- maximum likelihood estimates
- probability distribution
- density function
- model fitting
- probability density function
- likelihood function
- exponential family
- image segmentation
- data mining
- parameters estimation
- marginal distributions
- gaussian mixture model
- image sequences
- random variables