Peter J. Steinbach
Center for Information Technology
National Institutes of Health
Lifetime Distributions via the Maximum Entropy Method
Discrete Exponentials via Maximum Likelihood
Welcome to the MemExp home page. MemExp analyzes kinetics data in
terms of distributed and discrete lifetimes and provides graphical
summaries of the results. It estimates the standard errors in the data
and allows for several `priors' to be considered. By automating a series
of fits by discrete exponentials, MemExp is particularly useful when analyzing
data that are appropriately described by a large number of exponential phases.
For more details and references, please read the documentation. You may also wish to
read about other applications of maximum entropy.
- Download MemExp. See the summary of revisions.
- Documentation for version 5.0
- New in Version 5.0: Zero-time shift can now be accounted for when deconvolving an instrument response. Improved automation of fits by discrete exponentials, each fit being initialized based on the recommended distribution (not on different distributions during the MEM run).
- New in Version 4.0: New options for adaptation of prior model to suppress artifacts. New 'simple' and 'auto' modes make MemExp easier to use.
- What was new in Version 3.0: True maximum likelihood analysis of Poisson data, deconvolution of instrument response function, correction for scattered excitation light.