Kernel Density Estimation

center the kernel to the data points, and take average.

$${\hat{f}}_h(x)=\frac{1}{n}\sum _{i=1}^n{K}_h(x-x_i)$$

The estimated distribution of the data can be used to:

1. bootstrap an algorithm
2. help make decision