SIS: An R package for sure independence screening in ultrahigh-dimensional statistical models

Mathematics

• Screening 80%
• Statistical Model 70%
• Independence 63%
• Variable Selection 37%
• Feature Selection 24%
• Pseudo-likelihood 23%
• Cox Proportional Hazards Model 23%
• Thresholding 21%
• Likelihood Methods 20%
• Data-driven 20%
• Generalized Linear Model 19%
• Model Selection 17%
• Penalty 16%
• Regularization 15%
• Covariates 15%
• Performance 10%

Business & Economics

• Statistical Model 100%
• Screening 70%
• Variable Selection 65%
• Feature Selection 29%
• Pseudo-likelihood 28%
• Model Selection 27%
• Cox Proportional Hazards Model 25%
• Generalized Linear Model 23%
• Regularization 23%
• Recruiting 19%
• Covariates 18%
• Penalty 16%
• Performance 6%

Engineering & Materials Science

• Screening 67%
• Statistical Models 65%
• Hazards 16%
• Feature extraction 13%