3 Nonparametric Density Estimation
3.1 Motivation and Derivation
3.2 Statistical Properties
3.3 Smoothing Parameter Selection
3.4 Choosing the Kernel
3.5 Confidence Intervals and Confidence Bands
3.6 Multivariate Kernel Density Estimation
3.6.1 Bias, Variance and Asymptotics
3.6.2 Bandwidth Selection
3.6.3 Computation and Graphical Representation