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PID Estimators
Patricia Wollstadt edited this page Apr 14, 2020
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Different partial information decomposition (PID) estimators for discrete data are available, see the Installation and Requirements page for software requirements.
As of May 2020, the following estimators are available:
- SydneyPID (for discrete data)
- TartuPID (for discrete data): Implementation of the BROJA estimator (Bertschinger et al., 2014, Entropy,16(4); Makkeh et al., 2017, Entropy, 19(10); Makkeh et al., 2018, Entropy, 20(271))
- SxPID (for discrete data): Implementation of the shared exclusion estimator proposed in Makkeh et al., 2020, arXiv:2002.03356 [cs.IT]
For a list of available PID estimators and their documentation, enter:
import idtxl.estimators_pid
import idtxl.estimators_multivariate_pid
help(idtxl.estimators_pid)
help(idtxl.estimators_multivariate_pid)