One Generalized Mixture Pareto Distribution and Estimation of the Parameters by the EM Algorithm for Complete and Right-Censored Data.
Mohamed KayidPublished in: IEEE Access (2021)
Keyphrases
- em algorithm
- expectation maximization
- mixture distribution
- maximum likelihood estimation
- maximum likelihood estimates
- parameter estimation
- mixture model
- dirichlet distribution
- maximum likelihood
- log likelihood function
- mixture of gaussians
- mixture components
- probability density function
- gaussian distribution
- gaussian mixture
- gaussian mixture model
- likelihood function
- finite mixture model
- mixture modeling
- hyperparameters
- normal distribution
- probability density
- update equations
- estimate the model parameters
- generative model
- density estimation
- probabilistic model
- unsupervised learning
- gibbs sampling
- image segmentation
- expectation maximisation
- maximum a posteriori
- gaussian model
- exponential family
- closed form
- map estimation
- bayesian framework
- prior distribution
- log likelihood
- k means
- objective function
- generalized gaussian
- statistical model
- parameter learning
- graphical models
- incomplete data
- density function
- model based clustering
- supervised learning