Given a set of time series of individual activities, our goal is to identify periods of coordinated activity, find factions of coordination if more than one exist, as well as identify leaders of ea…

A framework to infer causality on a pair of time series of real numbers based on Variable-lag Granger causality and transfer entropy.

A framework to infer causality on binary data using techniques in frequent pattern mining and estimation statistics. Given a set of individual vectors S={x} where x(i) is a realization value of bin…

The framework for finding multiresolution partitions that have homogeneous linear models from multiresolution dataset.

EDOIF is a nonparametric framework based on estimation statistics principle. Its main purpose is to infer orders of empirical distributions from different categories base on a probability of findin…

A data clustering package based on admixture ratios (Q matrix) of population structure analysis.

Test 1144