Ullrika Sahlin
Senior lecturer
Quantile-Parameterized Distributions for Expert Knowledge Elicitation
Author
Summary, in English
This paper provides a comprehensive overview of quantile-parameterized distributions (QPDs) as a tool for capturing expert predictions and parametric judgments. We survey a range of methods for constructing distributions that are parameterized by a set of quantile-probability pairs and describe an approach to generalizing them to enhance their tail flexibility. Furthermore, we explore the extension of QPDs to the multivariate setting, surveying the approaches to construct bivariate distributions, which can be adopted to obtain distributions with quantile-parameterized margins. Through this review and synthesis of the previously proposed methods, we aim to enhance the understanding and utilization of QPDs in various domains.
Department/s
- Centre for Mathematical Sciences
- Mathematical Statistics
- LTH Profile Area: The Energy Transition
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
- eSSENCE: The e-Science Collaboration
- MERGE: ModElling the Regional and Global Earth system
- Centre for Environmental and Climate Science (CEC)
- BECC: Biodiversity and Ecosystem services in a Changing Climate
Publishing year
2025
Language
English
Pages
169-188
Publication/Series
Decision Analysis
Volume
22
Issue
3
Document type
Article
Publisher
INFORMS Institute for Operations Research and the Management Sciences
Topic
- Probability Theory and Statistics
Status
Published
ISBN/ISSN/Other
- ISSN: 1545-8490