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 |