This article provides a historical and conceptual perspective on the contrast between the Bayesian and belief function approaches to the probabilistic combination of evidence. It emphasizes the simplest example of non-Bayesian belief-function combination of evidence, which was developed by Hooper in the 1680s.
No takes yet. Share an insight, caveat, or question.
Glenn Shafer (1986) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: