1. Department of Statistics , Daegu University , Kyungsan, Kyungbuk, Korea shlee1@daegu.ac.kr;3. Department of Mathematical Sciences , Clemson University , Clemson, South Carolina, USA
Abstract:
The problem of support vector density estimation is studied when the sample observations are contaminated with random noise. A procedure based on support vector method and the Fourier transform is presented and is compared with kernel density estimators by the simulation study.