Non-asymptotic Error Bound for Optimal Prediction of Function-on-Function Regression by RKHS Approach

Keyphrases

• Regularized Least Squares 100%
• Reproducing Kernel Hilbert Space 100%
• Optimal Prediction 100%
• Function Prediction 100%
• Non-asymptotic Error Bound 100%
• Functional Regression 100%
• Point Spread Function Estimation 50%
• Numerical Examples 50%
• Convergence Rate 50%
• Regression Model 50%
• Model Coefficients 50%
• Risk Prediction 50%
• Minimax Optimal 50%
• Data Statistics 50%
• Reproducing Kernel 50%
• Testing Method 50%
• Example-based 50%
• Multivariate Functions 50%
• Medical Image Analysis 50%
• Atmospheric Point Spread Function 50%

Mathematics

• Asymptotics 100%
• Error Bound 100%
• Hilbert Space 100%
• Input Data 100%
• Regression Function 100%
• Least Squares Method 100%
• Numerical Example 50%
• Regression Model 50%
• Minimax 50%
• Multivariate Functions 50%
• Rate of Convergence 50%