# Adaptive Designs for Optimal Observed Fisher Information

arXiv: https://arxiv.org/abs/1712.08499 · HTML: https://mlsanity.com/paper/1712.08499/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 22 Dec 2017.

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

- [On Collaboration in Distributed Parameter Estimation with Resource Constraints](https://mlsanity.com/paper/2307.06442/) (2023)

## Abstract (arXiv)

Expected Fisher information can be found a priori and as a result its inverse is the primary variance approximation used in the design of experiments. This is in contrast to the common claim that the inverse of observed Fisher information is a better approximation to the variance of the maximum likelihood estimator. Observed Fisher information cannot be known a priori; however, if an experiment is conducted sequentially (in a series of runs) the observed Fisher information from previous runs is available. In the current work two adaptive designs are proposed that use the observed Fisher information from previous runs in the design of the current run.