An Asymmetric Distribution with Heavy Tails and Its Expectation-Maximization (EM) Algorithm Implementation.
Neveka M. OlmosOsvaldo VenegasYolanda M. GómezYuri A. IriartePublished in: Symmetry (2019)
Keyphrases
- em algorithm
- expectation maximization
- heavy tails
- probability density function
- mixture model
- maximum likelihood
- heavy tailed
- maximum likelihood estimation
- gaussian mixture model
- gaussian distribution
- likelihood function
- parameter estimation
- hyperparameters
- generative model
- unsupervised learning
- gaussian mixture
- probabilistic model
- mixture distribution
- expectation maximisation
- likelihood maximization
- gaussian model
- finite mixture model
- maximum a posteriori
- log likelihood function
- k means
- image segmentation
- maximum likelihood estimates
- mixture modeling
- mixture of gaussians
- density function
- bayesian framework
- probability distribution
- incomplete data
- generalized gaussian
- prior distribution
- map estimation
- density estimation
- mutual information
- image processing