Using informative priors for handling missing data problem in Cox regression.
Nesrin AlkanYuksel TerziM. Ali CengizPublished in: Commun. Stat. Simul. Comput. (2017)
Keyphrases
- missing data
- regression model
- regression analysis
- survival analysis
- missing values
- incomplete data
- low rank
- prior distribution
- motion segmentation
- matrix factorization
- bayesian framework
- structure from motion
- imprecise data
- model selection
- multiple imputation
- prior information
- missing information
- machine learning
- shape analysis
- matrix completion
- measurement matrix
- gaussian processes
- databases
- logistic regression
- collaborative filtering
- support vector
- feature selection
- neural network