A Study on the Impact of Non-confounding Covariates on the Inferential Performance of Methods based on the Potential Outcome Framework.
Yonghe ZhaoShuai FuHuiyan SunPublished in: CoRR (2023)
Keyphrases
- empirical studies
- machine learning methods
- theoretical framework
- main contribution
- qualitative and quantitative analysis
- model selection
- information systems
- probabilistic model
- least squares
- computational cost
- feature space
- preprocessing
- cross validation
- classification method
- theoretical foundation
- qualitative and quantitative
- regression analysis
- complexity analysis
- data sets