Spatially Varying Coefficient Model for Neuroimaging Data With Jump Discontinuities

Mathematics

• Neuroimaging 89%
• Varying Coefficient Model 81%
• Varying Coefficients 76%
• Discontinuity 55%
• Jump 51%
• Spatial Correlation 43%
• Imaging 34%
• Adaptive Testing 24%
• Estimate 21%
• Adaptive Estimation 20%
• Component Model 20%
• Eigenvalues and Eigenfunctions 18%
• Covariance Function 17%
• Principal Components 17%
• Uniform convergence 15%
• Asymptotic Normality 14%
• Data analysis 14%
• Monte Carlo Simulation 13%
• Asymptotic Properties 13%
• Covariates 13%
• Convergence Rate 13%
• Three-dimensional 11%
• Model 10%
• Unknown 10%
• Performance 9%

Business & Economics

• Varying Coefficient Model 100%
• Jump 72%
• Discontinuity 70%
• Coefficients 46%
• Spatial Correlation 42%
• Imaging 37%
• Adaptive Estimation 26%
• Monte Carlo Simulation 24%
• Asymptotic Normality 20%
• Eigenvalues 19%
• Rate of Convergence 19%
• Asymptotic Properties 19%
• Principal Components 17%
• Measurement Model 16%
• Covariates 15%
• Testing 13%
• Performance 6%