A powerful penalized multinomial logistic regression approach.

Fuetterer C, Nalenz M, Augustin T, Pfeiffer RM

DOI: 10.1007/s00180-025-01635-0
Published: 2025
Container: Computational statistics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s00180-025-01635-0,
  title = {A powerful penalized multinomial logistic regression approach.},
  author = {Fuetterer C and Nalenz M and Augustin T and Pfeiffer RM},
  year = {2025},
  journal = {Computational statistics},
  doi = {10.1007/s00180-025-01635-0},
  url = {https://doi.org/10.1007/s00180-025-01635-0}
}

RIS

TY  - JOUR
TI  - A powerful penalized multinomial logistic regression approach.
AU  - Fuetterer C
AU  - Nalenz M
AU  - Augustin T
AU  - Pfeiffer RM
PY  - 2025
JO  - Computational statistics
DO  - 10.1007/s00180-025-01635-0
UR  - https://doi.org/10.1007/s00180-025-01635-0
ER  -

APA

C, F., M, N., T, A., & RM, P. (2025). A powerful penalized multinomial logistic regression approach.. Computational statistics. https://doi.org/10.1007/s00180-025-01635-0

Source records

pubmed · retrieved 2026-09-25T12:10:43.534Z