About this item

Title

Eliciting Expert Uncertainty from Decision Making

Content partner

University of Waikato

Collection

ResearchCommons@Waikato

Description

Eliciting expert uncertainty is a complex task with many caveats. Its usefulness in high-level decision-making and Bayesian inference makes it a necessary task that must be completed accurately. This thesis explores uncertainty elicitation in terms of prior elicitation for Bayesian inference and the wider knowledge elicitation field. It describes methods currently available for prior elicitation and proposes a new typology, highlighting lesser-known methods. Based on the limitations of curren...

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Format

Research paper

Research format

Thesis

Thesis level

Doctoral

Date created

2024-01-25T01:35:36Z

Creator

Falconer, Julia Ruth

URL

https://hdl.handle.net/10289/16425

Related subjects

bayesian / prior / distribution / uncertainty / thesis with publication

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