# Demystifying Inferential Models: A Fiducial Perspective

arXiv: https://arxiv.org/abs/2205.05612 · HTML: https://mlsanity.com/paper/2205.05612/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 11 May 2022.

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

- [Towards Strong AI: Transformational Beliefs and Scientific Creativity](https://mlsanity.com/paper/2412.19938/) (2024)

## Abstract (arXiv)

Inferential models have recently gained in popularity for valid uncertainty quantification. In this paper, we investigate inferential models by exploring relationships between inferential models, fiducial inference, and confidence curves. In short, we argue that from a certain point of view, inferential models can be viewed as fiducial distribution based confidence curves. We show that all probabilistic uncertainty quantification of inferential models is based on a collection of sets we name principle sets and principle assertions.