Assessing robustness of regularized regression models with applications

Keyphrases

• Least Absolute Shrinkage and Selection Operator (LASSO) 100%
• Multicollinearity 100%
• Regularized Regression Model 100%
• Regression Analysis 50%
• Relationship between Variables 50%
• Parameter Estimation 50%
• Data Science 50%
• Big Data 50%
• Best Model 50%
• Advanced Level 50%
• Accuracy Improvement 50%
• High-dimensional Data 50%
• Socio-economic System 50%
• Level Analysis 50%
• Individual Activity 50%
• Residual Sum of Squares 50%
• Regression Method 50%
• Linear Regression Analysis 50%
• Spatial-temporal 50%
• Socio-ecological Systems 50%
• Multicollinearity Problem 50%
• Regularized Regression 50%
• Ridge Model 50%
• Modeling Strategy 50%

Mathematics

• Regression Model 100%
• Multicollinearity 100%
• Ridge 100%
• Sum of Squares 50%
• Residual Sum 50%
• Type Model 50%
• Multicollinearity Problem 50%
• Dimensional Data 50%
• Estimated Parameter 50%
• Linear Regression Analysis 50%