Survey on Statistical Inference with Belief Functions
A survey paper reviews methods for statistical inference using belief functions, a framework for modeling uncertainty when data is scarce. The paper focuses on how to derive belief measures from statistical data, highlighting key contributions in the field.
Key facts
- Belief functions are used for uncertainty characterization.
- The survey focuses on inference from statistical data.
- It reviews significant contributions in the area.
- The paper is from the Mathematics > Statistics Theory category.
- The survey is titled 'Statistical inference with belief functions: A survey'.
- The abstract mentions lack of data as a motivation.
- The first step in reasoning with belief functions is inference.
- The paper is available on arXiv.
Entities
Institutions
- arXiv
- Semantic Scholar