Semiparametric estimation of covariance matrixes for longitudinal data

Mathematics

• Semiparametric Estimation 82%
• Longitudinal Data 68%
• Covariance matrix 58%
• Quasi-maximum Likelihood 56%
• Correlation Function 44%
• Irregular 41%
• Maximum Likelihood Estimator 37%
• Sparse Data 29%
• Consistency Conditions 27%
• Context 26%
• Varying Coefficients 26%
• Variance Function 26%
• Robust Estimators 24%
• Covariance Function 24%
• Semiparametric Model 24%
• Covariance Structure 24%
• Regression Function 22%
• Data Structures 21%
• Rough 20%
• Asymptotic Normality 20%
• Estimate 19%
• Asymptotic Properties 18%
• Regression Model 17%
• Simulation Study 15%
• Model 14%
• Unknown 13%
• Range of data 13%

Business & Economics

• Longitudinal Data 100%
• Semiparametric Estimation 87%
• Covariance Matrix 71%
• Quasi-maximum Likelihood Estimator 63%
• Robust Estimators 29%
• Semiparametric Model 28%
• Asymptotic Normality 28%
• Asymptotic Properties 26%
• Simulation Study 20%
• Regression Model 17%
• Coefficients 15%