Inference for high dimensional linear models with error-in-variables.
Zhaoliang WangLiugen XuePublished in: Commun. Stat. Simul. Comput. (2021)
Keyphrases
- variable selection
- linear models
- high dimensional
- dimension reduction
- cross validation
- dimensionality reduction
- low dimensional
- additive models
- model selection
- feature space
- high dimensional data
- nonlinear models
- data points
- factor graphs
- causal effects
- nearest neighbor
- causal relationships
- high dimensionality
- belief networks
- linear model
- observed variables
- bayesian networks