# Bayesian aggregation of two forecasts in the partial information framework

arXiv: https://arxiv.org/abs/1608.04717 · HTML: https://mlsanity.com/paper/1608.04717/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Aug 2016.

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

- [Prior-Agnostic Robust Forecast Aggregation](https://mlsanity.com/paper/2604.24517/) (2026)
- [Two Heads Are Better Than One: Aggregating Weaker LLMs for Better Forecasts](https://mlsanity.com/paper/2609.33257/) (2026)

## Abstract (arXiv)

We generalize the results of citeSPU, SJPU by showing how the Gaussian aggregator may be computed in a setting where parameter estimation is not required. We proceed to provide an explicit formula for a "one-shot" aggregation problem with two forecasters.