Variable selection for high-dimensional incomplete data.
Lixing LiangYipeng ZhuangPhilip L. H. YuPublished in: Comput. Stat. Data Anal. (2024)
Keyphrases
- variable selection
- incomplete data
- high dimensional
- learning bayesian networks
- input variables
- missing data
- missing values
- cross validation
- bayesian networks
- em algorithm
- linear models
- dimension reduction
- high dimensional data
- high dimensionality
- group lasso
- low dimensional
- model selection
- dimensionality reduction
- microarray data
- data points
- input data
- hyperparameters
- incomplete data sets
- genetic programming
- artificial neural networks
- expectation maximization
- sparsity inducing