Unsupervised mixture estimation via approximate maximum likelihood based on the Cramér - von Mises distance.
Marco BeePublished in: Comput. Stat. Data Anal. (2023)
Keyphrases
- maximum likelihood
- von mises
- gaussian distribution
- expectation maximization
- parameter estimation
- maximum likelihood estimation
- log likelihood function
- rao bound
- mixture model
- em algorithm
- unsupervised learning
- map estimation
- gaussian mixture model
- maximum a posteriori
- heavy tailed
- maximum likelihood estimator
- density estimation
- gaussian model
- posterior distribution
- distance measure
- probability density function
- multiscale
- supervised learning