Projection Pursuit Density Estimation Using Eigen Value Method

Abstract

This paper focuses on the use of kernel method and projection pursuit regression for non-parametric probability density estimation. Direct application of the kernel method is not able to pick up characteristic features of multidimensional density function. The proposed projection projection pursuit regression method based on the eigen value problem is able to bypass the "curse of dimensionality" in mutidimensional density estimation.