Density estimation using kernel method with distorter

We propose a method to determine the bandwidth of a kernel function when the probability density function is to be estimated by the kernel method. A new criterion to evaluate the bandwidth is presented, which represents the difference between the estimated density function using the observations and the one using the transformed observations by a nonlinear function called “distorter”