• 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