Displaying 3 results from an estimated 3 matches for "ash2".
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ash
2004 Feb 12
1
Kernel Density Estimator for 2D Binned Data
...re efficiently
manage the volume of data.
I now wish to construct a smooth kernel density estimate (Gaussian
kernel function) using this binned data.
Does anyone in the R community know of an R function (or S-plus or
Mathematica or Matlab or C++ or even Fortran) to do this.
(Note that bkde2D, ash2 etc will not work with binned data input and
using 4 x 10^7 raw samples on a 0(n^2) algorithm is probably not
feasible)
Thanks in advance.
Regards,
James McCulloch
Post-Doc Fellow
University of Technology Sydney
DISCLAIMER\ ================================================...{{dropped}}
2016 Jan 27
2
error during virt-sparsify
Hello,
I'm using *virt-sparsify* for compressing image file
[ash2] jenkins@b-imagebuilder-worker-r13h17-prod:~/workspace/imagebuilder/packer/output$
virt-sparsify --compress
/data/home/jenkins/workspace/imagebuilder/packer/output/packer-vm.qcow2
/data/home/jenkins/workspace/imagebuilder/packer/output/packer-vm.qcow2.sparsified
Input disk virtual size = 419430400...
2000 Jun 20
1
density estimation in two dimensions
Hello,
I am a newbie to R and the subject of density estimation in two
dimensions or more.
I would like to have some advice concerning a comparison between the R
packages
for density estimation in bivariate or higher order problems; I mean
explicitly
the packages:
1) ash
2) KernSmooth
3) locfit
4) sm.
My specific problem now is having a set of numerical pairs (x_i, y_i),
arising from
a