New estimation and model selection procedures for semiparametric modeling in longitudinal data analysis

Business & Economics

• Longitudinal Data Analysis 100%
• Model Selection 91%
• Semiparametric Model 82%
• Variable Selection 55%
• Estimator 36%
• Modeling 35%
• Longitudinal Data 23%
• Local Polynomial 23%
• Semiparametric Regression 22%
• Polynomial Regression 20%
• Penalty Function 20%
• Asymptotic Normality 20%
• Regularization 19%
• Rate of Convergence 18%
• Regression Coefficient 18%
• Standard Error 17%
• Inference 12%
• Regression Model 12%

Mathematics

• Longitudinal Data Analysis 86%
• Semiparametric Model 69%
• Selection Procedures 67%
• Model Selection 60%
• Modeling 39%
• Estimator 27%
• Local Polynomial Regression 22%
• Parametric Inference 22%
• Semiparametric Regression Model 20%
• Sandwich 18%
• Regularization Parameter 16%
• Baseline 16%
• Penalty Function 16%
• Longitudinal Data 16%
• Parametric Model 16%
• Oracle 15%
• Standard error 15%
• Variable Selection 15%
• Unknown Parameters 14%
• Asymptotic Normality 14%
• Estimate 13%
• Rate of Convergence 11%