This page contains information and software related to the method
of Translationally Invariant Smoothing of Poisson data using Haar
Wavelets, better known as TIPSH. TIPSH is useful for the removal
of Poisson noise from count data, or more generally, for non-parametric
hypothesis testing of Poisson data. In the latter case, one can
non-parametrically extract the statistically significant residual
from a dataset given some null hypothesis. For further details,
please see our paper about TIPSH.
Questions regarding the statistics of TIPSH may be directed to
Eric Kolaczyk, while those
regarding applications can be sent to
Dave Dixon.