# Theoretical properties of Bayesian Student-t linear regression

arXiv: https://arxiv.org/abs/2204.02299 · HTML: https://mlsanity.com/paper/2204.02299/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 5 Apr 2022.

## Built on by (most cited first, 1 of 1)

- [Anchored Langevin Algorithms](https://mlsanity.com/paper/2509.19455/) (2025)

## Abstract (arXiv)

Bayesian Student-t 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).