p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets.
Alexander MunteanuSimon OmlorChristian PetersPublished in: CoRR (2022)
Keyphrases
- maximum likelihood estimation
- maximum likelihood
- em algorithm
- proximal point
- minimum classification error
- expectation maximization
- regression model
- parameter estimation
- probability distribution
- model selection
- multivariate gaussian
- density function
- boltzmann machine
- mixture of gaussians
- probability density
- graphical models
- log likelihood function