Description

 <title> KDE: Lisp-Stat objects for interactive kernel estimation </title>

  <h1> Description</h1>
KDE objects are able to compute and display kernel density estimates
from a univariate data set. Using Lisp-Stat graphical interface tools,
a non-lisper user can control some estimation aspects as the bandwidth
and the kernel function, and also superimpose in the window other
graphic information, histograms, ... Some automatic bandwidth
selectors are provided, and full documentiation is available. <p>

Several extensions are on the way: regression kernel estimation,
hazard rate function kernel estimates, multivariate versions...<p>


  <h1> Project Investigators</h1>

Frederic Udina, UPF. <p>

  <h1> Contact person </h1>

Frederic Udina, Universitat Pompeu Fabra, Barcelona. <p>

  udina@upf.es <p>