Logistic regression with missing covariates - Parameter estimation, model selection and prediction within a joint-modeling framework.
Wei JiangJulie JosseMarc LavielleTraumaBase GroupPublished in: Comput. Stat. Data Anal. (2020)
Keyphrases
- logistic regression
- model selection
- parameter estimation
- modeling framework
- cross validation
- decision trees
- sample size
- regression model
- statistical models
- hyperparameters
- naive bayes
- topic modeling
- loss function
- machine learning
- support vector
- mixture model
- variable selection
- gaussian process
- feature selection
- posterior distribution
- bayesian model selection
- maximum likelihood
- approximate inference
- information extraction
- computer vision