A frequency domain selection criterion for regression with autocorrelated errors

Mathematics

• Cross-validation 70%
• Frequency Domain 65%
• Regression 47%
• Discrete Fourier transform 19%
• Regression Function 17%
• Kernel Estimator 12%
• Nonparametric Regression 11%
• Autocorrelation 11%
• Estimator 10%
• Correlated Errors 7%
• Unknown 7%
• Growth Curve 7%
• Linear Estimator 6%
• Correlation Structure 6%
• Data-driven 6%
• Complex Functions 6%
• Monte Carlo Study 6%
• Nonparametric Estimator 6%
• Stationary Process 5%
• Smooth function 5%
• Spline 5%
• Asymptotic Properties 4%
• Decay 4%
• Regression Model 4%
• Scalar 4%
• Valid 4%
• Observation 3%
• Curve 3%
• Performance 3%
• Standards 3%
• Zero 2%
• Form 2%
• Class 1%

Business & Economics

• Cross-validation 100%
• Selection Criteria 66%
• Estimator 22%
• Nonparametric Regression 21%
• Kernel Estimator 16%
• Autocorrelation 11%
• Stationary Process 7%
• Splines 7%
• Growth Curve 7%
• Airlines 7%
• Correlation Structure 7%
• Asymptotic Properties 6%
• Monte Carlo Study 6%
• Decay 6%
• Regression Model 4%
• Usefulness 4%
• Performance 2%