Adaptive shrinkage with Student’s t: Limited gains over Gaussian hierarchical linear models

Authors

Graham W. Buhrman

Jee-Seon Kim

Weicong Lyu

Published

July 8, 2026

Proceedings
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Citation

BibTeX citation:
@inproceedings{buhrman2026,
  author = {Buhrman, Graham W. and Kim, Jee-Seon and Lyu, Weicong},
  editor = {Kim, Jee-Seon and Wallin, G. and Wu, H. and Sweet, T. M. and
    Junker, B. W. and Moustaki, I. and Harring, J. and Bulut, O. and
    Tong, X. and Di Plinio, S.},
  title = {Adaptive Shrinkage with {Student’s} t: {Limited} Gains over
    {Gaussian} Hierarchical Linear Models},
  booktitle = {Proceedings of the International Meeting of the
    Psychometric Society: The 90th Annual International Meeting of the
    Psychometric Society, Minneapolis, United States, 2025},
  date = {2026-07-08},
  url = {https://openreview.net/forum?id=W67kxaKDz},
  doi = {10.64028/imps2025.W67kxaKDz},
  langid = {en}
}
For attribution, please cite this work as:
Buhrman, G. W., Kim, J.-S., & Lyu, W. (2026). Adaptive shrinkage with Student’s t: Limited gains over Gaussian hierarchical linear models. In J.-S. Kim, G. Wallin, H. Wu, T. M. Sweet, B. W. Junker, I. Moustaki, J. Harring, O. Bulut, X. Tong, & S. Di Plinio (Eds.), Proceedings of the International Meeting of the Psychometric Society: The 90th Annual International Meeting of the Psychometric Society, Minneapolis, United States, 2025. https://doi.org/10.64028/imps2025.W67kxaKDz