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Theoretical properties of Bayesian Student-$t$ linear regression

Statistics Theory 2023-02-08 v2 Methodology Statistics Theory

Abstract

Bayesian Student-tt linear regression is a common robust alternative to the normal model, but its theoretical properties are not well understood. We aim to fill some gaps by providing analyses in two different asymptotic scenarios. The results allow to precisely characterize the trade-off between robustness and efficiency controlled through the degrees of freedom (at least asymptotically).

Keywords

Cite

@article{arxiv.2204.02299,
  title  = {Theoretical properties of Bayesian Student-$t$ linear regression},
  author = {Philippe Gagnon and Yoshiko Hayashi},
  journal= {arXiv preprint arXiv:2204.02299},
  year   = {2023}
}
R2 v1 2026-06-24T10:38:43.525Z