---
title: "On the Revision of Probabilistic Beliefs using Uncertain Evidence"
authors:
  - "Hei Chan"
  - "Adnan Darwiche"
doi: ""
url: "https://ijcai.org/proceedings/2003/14"
pdf: "https://ijcai.org/proceedings/2003/0014.pdf"
venue: "Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence"
year: 2003
pages: "99-104"
track: ""
keywords:
---

# On the Revision of Probabilistic Beliefs using Uncertain Evidence

Hei Chan, Adnan Darwiche

*Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence*, pages 99-104.

## Abstract

We revisit the problem of revising probabilistic beliefs using uncertain evidence, and report results on four major issues relating to this problem: How to specify uncertain evidence? How to revise a distribution? Should, and do, iterated belief revisions commute? And how to provide guarantees on the amount of belief change induced by a revision? Our discussion is focused on two main methods for probabilistic revision: Jeffrey's rule of probability kinematics and Pearl's method of virtual evidence, where we analyze and unify these methods from the perspective of the questions posed above.