Maximum softly-penalized likelihood for mixed effects logistic regression.
Philipp SterzingerIoannis KosmidisPublished in: Stat. Comput. (2023)
Keyphrases
- logistic regression
- mixed effects
- penalized likelihood
- random effects
- maximum likelihood
- decision trees
- em algorithm
- log likelihood
- support vector
- naive bayes
- logistic regression models
- random forests
- linear model
- loss function
- hidden markov models
- linear support vector machines
- odds ratio
- classification accuracy
- expectation maximization
- active learning
- data sets