An FDA-Based Approach for Clustering Elicited Expert Knowledge
Expert knowledge elicitation (EKE) aims at obtaining individual representations of experts’ beliefs and render them in the form of probability distributions or functions. In many cases the elicited distributions differ and the challenge in Bayesian inference is then to find ways to reconcile discrep...
Main Authors: | Carlos Barrera-Causil, Juan Carlos Correa, Andrew Zamecnik, Francisco Torres-Avilés, Fernando Marmolejo-Ramos |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-03-01
|
Series: | Stats |
Subjects: | |
Online Access: | https://www.mdpi.com/2571-905X/4/1/14 |
Similar Items
-
Experimental Investigation on the Elicitation of Subjective Distributions
by: Carlos J. Barrera-Causil, et al.
Published: (2019-04-01) -
State Measurements of Benefit Fraud: Why Expert Elicitations Cannot Be Used to Measure Incorrect Personal Assistance Payments
by: Niklas Altermark, et al.
Published: (2020-05-01) -
EXPLICIT: a feasibility study of remote expert elicitation in health technology assessment
by: Bogdan Grigore, et al.
Published: (2017-09-01) -
A sunny future: expert elicitation of China's solar photovoltaic technologies
by: Long T Lam, et al.
Published: (2018-01-01) -
ELICIPY 1.0: A Python online tool for expert elicitation
by: Mattia de’ Michieli Vitturi, et al.
Published: (2024-02-01)