Feature-aided tracking with GMTI and HRR measurements via mixture density estimation

2006 ◽  
Vol 153 (3) ◽  
pp. 342-356 ◽  
Author(s):  
Y. Ruan ◽  
L. Hong
2013 ◽  
Vol 63 (2) ◽  
Author(s):  
Chew-Seng Chee

In this paper, we consider using nonparametric mixtures for density estimation. The mixture density estimation problem simply reduces to the problem of estimating a mixing distribution in the nonparametric mixture model. We focus on the least squares method for mixture density estimation problem. In a simulation experiment, the performance of the least squares mixture density estimator (MDE) and the kernel density estimator (KDE) is assessed by the mean integrated squared error. The performance improvement of MDE over KDE for some common densities is achieved by using cross-validation method for bandwidth selection.


2005 ◽  
Vol 9 ◽  
pp. 220-229 ◽  
Author(s):  
Alexander Rakhlin ◽  
Dmitry Panchenko ◽  
Sayan Mukherjee

2004 ◽  
Author(s):  
Alexander Rakhlin ◽  
Dmitry Panchenko ◽  
Sayan Mukherjee

Sign in / Sign up

Export Citation Format

Share Document