Joint hierarchical generalized linear models with multivariate Gaussian random effects.
Marek MolasMaengseok NohYoungjo LeeEmmanuel LesaffrePublished in: Comput. Stat. Data Anal. (2013)
Keyphrases
- random effects
- generalized linear models
- hierarchical structure
- multivariate gaussian
- regression model
- mixed effects
- logistic regression
- maximum likelihood estimation
- covariance matrix
- hidden markov models
- linear regression
- gaussian distribution
- linear model
- least squares
- linear models
- high dimensional
- unsupervised learning
- expectation maximization
- tree structure
- maximum likelihood
- computer vision