Inference of high-dimensional linear models with time-varying coefficients

Mathematics

• Linear Model 62%
• Null Distribution 52%
• Variance Decomposition 37%
• Parkinson's Disease 36%
• Nonparametric Smoothing 35%
• Functional Magnetic Resonance Imaging 32%
• Familywise Error Rate 32%
• Nonstationarity 31%
• Kernel Smoothing 31%
• Smoothing Techniques 30%
• Bias Correction 30%
• Range of data 29%
• Estimator 28%
• Brain 26%
• p-Value 25%
• Limiting Distribution 23%
• Connectivity 21%
• Asymptotic Properties 20%
• Sample Size 18%
• Model 7%

Business & Economics

• Estimator 42%
• Nonstationarity 33%
• Kernel Smoothing 28%
• Gaussian Process 25%
• Sample Size 24%
• Functional Magnetic Resonance Imaging 22%
• Limiting Distribution 22%
• Asymptotic Properties 22%
• P Value 21%
• Connectivity 20%
• Variance Decomposition 20%
• Finite Sample 19%
• Performance 6%