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BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition

Abdullah Makkeh, Dirk Theis, Raul Vicente
2018 Entropy  
Makkeh, Theis, and Vicente found that Cone Programming model is the most robust to compute the Bertschinger et al. partial information decomposition (BROJA PID) measure.  ...  We developed a production-quality robust software that computes the BROJA PID measure based on the Cone Programming model.  ...  This question is at the heart of (bivariate) partial information decomposition (PID) [1] [2] [3] [4] .  ... 
doi:10.3390/e20040271 pmid:33265362 fatcat:rkmeasmjrnhrxjtc5nj5bjm364

Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory [article]

Patricia Wollstadt, Sebastian Schmitt
2021 arXiv   pre-print
Second, we use the novel partial information decomposition (PID) framework that allows to quantify redundant and synergistic contributions between selected parameters with respect to the optimization outcome  ...  We therefore propose to use recently introduced information-theoretic methods and estimation algorithms to find the most influential input parameters in optimization results.  ...  Vicente, “BROJA-2PID: A robust estimator for bivariate partial information decomposition,” Entropy, [1] L.  ... 
arXiv:2112.05609v1 fatcat:vfk2eheeo5erhk7gkwayyvroqe