%0 Journal Article %1 scholz2022prediction %A Scholz, Maximilian %A Bürkner, Paul-Christian %D 2022 %J arXiv preprint %K %T Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models

@article{scholz2022prediction, added-at = {2023-01-29T09:50:05.000+0100}, author = {Scholz, Maximilian and B{\"u}rkner, Paul-Christian}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/264a3a597152f0ed007ba120f0e5991ea/paul.buerkner}, interhash = {d44587f6ab2a24914d1e0a86ed093ba5}, intrahash = {64a3a597152f0ed007ba120f0e5991ea}, journal = {arXiv preprint}, keywords = {}, timestamp = {2023-01-29T08:50:05.000+0100}, title = {Prediction can be safely used as a proxy for explanation in causally consistent Bayesian generalized linear models}, year = 2022 }