# Designs for Generalized Linear Models

arXiv: https://arxiv.org/abs/1510.05253 · HTML: https://mlsanity.com/paper/1510.05253/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 18 Oct 2015.

## Built on by (most cited first, 2 of 2)

- [Spend Less, Fit Better: Budget-Efficient Scaling Law Fitting via Active Experiment Selection](https://mlsanity.com/paper/2604.22753/) (2026)
- [Optimal Kernel Learning for Gaussian Process Models with High-Dimensional Input](https://mlsanity.com/paper/2502.16617/) (2025)

## Abstract (arXiv)

This paper reviews the design of experiments for generalised linear models, including optimal design, Bayesian design and designs for models with random effects.