Two-step estimators in partial linear models with missing response variables and error-prone covariates.
Yiping YangLiugen XueWeihu ChengPublished in: J. Syst. Sci. Complex. (2011)
Keyphrases
- error prone
- linear models
- regression coefficients
- variable selection
- linear model
- labor intensive
- linear regression
- gaussian processes
- causal relationships
- causal effects
- nonlinear models
- cross validation
- observed variables
- regression model
- dimension reduction
- missing data
- missing values
- logistic regression
- high dimensional
- response variable
- data mining
- explanatory variables
- support vector
- computational complexity
- generative model
- markov random field