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Authors
Fatma Sevinc Kurnaz (0000-0002-5958-7366), Peter Filzmoser (0000-0002-8014-4682)
Citation
Kurnaz et al., (2023). enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression. Journal of Open Source Software, 8(82), 4773, https://doi.org/10.21105/joss.04773
@article{Kurnaz2023,
doi = {10.21105/joss.04773},
url = {https://doi.org/10.21105/joss.04773},
year = {2023},
publisher = {The Open Journal},
volume = {8},
number = {82},
pages = {4773},
author = {Fatma Sevinc Kurnaz and Peter Filzmoser},
title = {enetLTS: Robust and Sparse Methods for High Dimensional Linear, Binary, and Multinomial Regression},
journal = {Journal of Open Source Software}
}
Tags
Robust regression Elastic net outlier detection
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