Hello, if you have a lot of data points (say more than two thousands), a parametric model can not caputre the structure of the data very well, or better, there is loss of information. There a plenty of semi and non-parametric regression models out there. Take a look at www.md-tech.com for software and literature. However it is only useful for large data sets and sometimes very difficult to interpret. best regards stefan
Rajarshi Guha <[EMAIL PROTECTED]> wrote in message news:<[EMAIL PROTECTED]>... > Hi, > I've come across kernel density estimation technques and I was wonderin > what can they be used for? It appears to me that they just give a > representation of the PDF for the given data. But can these technique be > used for other purposes? > > Another related question is that I have seen some examples of 1D and 2D > KDE technqiues - is it possible (or rather available) to have nD KDE > techniques? > > I'd appreciate it if anybody could point some introductory texts in this > area ? > > Thanks, > Rajarshi . . ================================================================= Instructions for joining and leaving this list, remarks about the problem of INAPPROPRIATE MESSAGES, and archives are available at: . http://jse.stat.ncsu.edu/ . =================================================================
