Smoothing Methods
1. Kernel Density Estimation
1.1 Computational Aspects
1.2 Computing Kernel Density Estimates
1.3 Kernel Choice
1.4 Bandwidth Selection
1.5 Confidence Intervals and Bands
2. Kernel Regression
2.1 Computational Aspects
2.2 Computing Kernel Regression Estimates
2.3 Bandwidth Selection
2.4 Confidence Intervals and Bands
2.5 Local Polynomial Regression and Derivative Estimation
3. Multivariate Density and Regression Functions
3.1 Computational Aspects
3.2 Multivariate Density Estimation
3.3 Multivariate Regression
Bibliography