# AIMS:Average Information Matrix Splitting

arXiv: https://arxiv.org/abs/1605.07646 · HTML: https://mlsanity.com/paper/1605.07646/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 24 May 2016.

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

- [Meta-Continual Learning of Neural Fields](https://mlsanity.com/paper/2504.05806/) (2025)

## Abstract (arXiv)

For linear mixed models with co-variance matrices which are not linearly dependent on variance component parameters, we prove that the average of the observed information and the Fisher information can be split into two parts. The essential part enjoys a simple and computational friendly formula, while the other part which involves a lot of computations is a random zero matrix and thus is negligible.