Approximating stochastic loads using the EM-Algorithm.
Fabian OssevorthPeter SchegnerPublished in: IFAC J. Syst. Control. (2021)
Keyphrases
- em algorithm
- expectation maximization
- maximum likelihood
- mixture model
- parameter estimation
- generative model
- gaussian mixture model
- maximum likelihood estimation
- expectation maximisation
- incomplete data
- gaussian mixture
- maximum a posteriori
- log likelihood
- likelihood function
- mixture modeling
- probabilistic model
- density estimation
- hyperparameters
- parameter learning
- likelihood maximization
- hidden variables
- probability density function
- gibbs sampling
- penalized likelihood
- finite mixtures
- finite mixture models
- finite mixture model
- model based clustering
- least squares