High-Performance Open-Source Archive
To cite package ‘SDModels’ in publications use Ulmer, Scheidegger, and Bühlmann (2025) for Spectrally Deconfounded Random Forests (SDForest) and Scheidegger, Guo, and Bühlmann (2025) for Spectrally Deconfounded Additive Models (SDAMs).
Ulmer M, Scheidegger C, B"uhlmann P (2025). “Spectrally Deconfounded Random Forests.” Journal of Computational and Graphical Statistics. doi:10.1080/10618600.2025.2569602. https://doi.org/10.1080/10618600.2025.2569602.
Scheidegger, Cyrill, Guo, Zijian, B"uhlmann, Peter (2025). “Spectral Deconfounding for High-Dimensional Sparse Additive Models.” ACM / IMS J. Data Sci., 2(1). doi:10.1145/3711116. https://doi.org/10.1145/3711116.
Corresponding BibTeX entries:
@Article{,
title = {Spectrally Deconfounded Random Forests},
author = {Markus Ulmer and Cyrill Scheidegger and Peter
B{"u}hlmann},
year = {2025},
publisher = {ASA Website},
journal = {Journal of Computational and Graphical Statistics},
doi = {10.1080/10618600.2025.2569602},
url = {https://doi.org/10.1080/10618600.2025.2569602},
}
@Article{,
author = {{Scheidegger} and {Cyrill} and {Guo} and {Zijian} and
{B"{u}hlmann} and {Peter}},
title = {Spectral Deconfounding for High-Dimensional Sparse
Additive Models},
year = {2025},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3711116},
doi = {10.1145/3711116},
journal = {ACM / IMS J. Data Sci.},
volume = {2},
number = {1},
}
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