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BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition
2018
Entropy
Preserved Fulltext
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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]
2021
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
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