On the public citation graph

Balancing the Elicitation Burden and the Richness of Expert Input When Quantifying Discrete Bayesian Networks

0 signed · 40 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/2017ef000765openalex-snapshot
Probabilistic Decision Tools for Determining Impacts of Agricultural Development Policy on Household Nutrition
inferredcites →https://doi.org/10.1016/b978-1-4832-1451-1.50016-0openalex-snapshot
Parameter adjustment in Bayes networks. The generalized noisy OR–gate
inferredcites →https://doi.org/10.1016/j.ejor.2016.10.018openalex-snapshot
Expert judgement for dependence in probabilistic modelling: A systematic literature review and future research directions
inferredcites →https://doi.org/10.1016/j.engappai.2010.06.002openalex-snapshot
Overview on Bayesian networks applications for dependability, risk analysis and maintenance areas
inferredcites →https://doi.org/10.1016/j.envsoft.2019.104539openalex-snapshot
Facilitating the elicitation of beliefs for use in Bayesian Belief modelling
inferredcites →https://doi.org/10.1016/j.ijforecast.2016.02.008openalex-snapshot
I nvestigate D iscuss E stimate A ggregate for structured expert judgement
inferredcites →https://doi.org/10.1017/s1368980021000525openalex-snapshot
A structured expert judgement elicitation approach: how can it inform sound intervention decision-making to support household food security?
inferredcites →https://doi.org/10.1080/00218839.2018.1494891openalex-snapshot
Assessment of the response of pollinator abundance to environmental pressures using structured expert elicitation
inferredcites →https://doi.org/10.1109/tit.2004.834752openalex-snapshot
Information Theory, Inference, and Learning Algorithms
inferredcites →https://doi.org/10.1109/tkde.2016.2535229openalex-snapshot
Improving Construction of Conditional Probability Tables for Ranked Nodes in Bayesian Networks
inferredcites →https://doi.org/10.5772/intechopen.81602openalex-snapshot
Issues in the Probability Elicitation Process of Expert-Based Bayesian Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/eap.3064openalex-snapshot
Probabilistic ecological risk assessment for deep‐sea mining: A Bayesian network for Chatham Rise, Pacific Ocean
inferred← citeshttps://doi.org/10.1007/s00267-022-01595-xopenalex-snapshot
A Bayesian Modelling Framework for Integration of Ecosystem Services into Freshwater Resources Management
inferred← citeshttps://doi.org/10.1007/s10462-026-11537-2openalex-snapshot
A survey of graphical models for decision-making: integrating causality and game theory
inferred← citeshttps://doi.org/10.1016/j.accpm.2026.101776openalex-snapshot
Performance of published scoring tools for predicting the risk of perioperative respiratory adverse events in children – An evaluation in a large paediatric cohort
inferred← citeshttps://doi.org/10.1016/j.apenergy.2025.127034openalex-snapshot
Uncovering drivers of EU carbon futures with Bayesian networks
inferred← citeshttps://doi.org/10.1016/j.cities.2026.107063openalex-snapshot
Disentangling spatial and structural drivers of housing prices through Bayesian networks: A case study of Madrid, Barcelona, and Valencia
inferred← citeshttps://doi.org/10.1016/j.compbiomed.2025.110026openalex-snapshot
A Bayesian Network model of pregnancy outcomes for England and Wales
inferred← citeshttps://doi.org/10.1016/j.dss.2021.113709openalex-snapshot
Portraying probabilistic relationships of continuous nodes in Bayesian networks with ranked nodes method
inferred← citeshttps://doi.org/10.1016/j.envsci.2024.103733openalex-snapshot
Supporting spatial planning with a novel method based on participatory Bayesian networks: An application in Curaçao
inferred← citeshttps://doi.org/10.1016/j.ijar.2025.109368openalex-snapshot
Global sensitivity analysis of uncertain parameters in Bayesian networks
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.129502openalex-snapshot
bnRep: A repository of Bayesian networks from the academic literature
inferred← citeshttps://doi.org/10.1016/j.ress.2022.108903openalex-snapshot
A traceable process to develop Bayesian networks from scarce data and expert judgment: A human reliability analysis application
inferred← citeshttps://doi.org/10.1071/pc25082openalex-snapshot
Expert Opinion Curve (EO Curve), a tool to fill large data gaps by eliciting expert response curves
inferred← citeshttps://doi.org/10.1080/03081079.2022.2086541openalex-snapshot
Advancing construction of conditional probability tables of Bayesian networks with ranked nodes method
inferred← citeshttps://doi.org/10.1080/09540091.2025.2565163openalex-snapshot
Innovative synthetic EHR data generation: diffusion models for enhanced privacy and clinical utility in multimorbidity clustering
inferred← citeshttps://doi.org/10.1101/2024.01.06.24300925openalex-snapshot
Approach and Method for Bayesian Network Modelling: A Case Study in Pregnancy Outcomes for England and Wales
inferred← citeshttps://doi.org/10.1111/risa.13915openalex-snapshot
A flexible method for parameterizing ranked nodes in Bayesian networks using Beta distributions
inferred← citeshttps://doi.org/10.1111/risa.13938openalex-snapshot
Bayesian networks for risk analysis and decision support
inferred← citeshttps://doi.org/10.1111/risa.70111openalex-snapshot
Structured Expert Elicitation of Dependence Between River Tributaries Using Nonparametric Bayesian Networks
inferred← citeshttps://doi.org/10.1111/risa.70114openalex-snapshot
Quantitative System Risk Assessment From Incomplete Data With Belief Networks and Pairwise Comparison Elicitation
inferred← citeshttps://doi.org/10.11648/j.ijafrm.20261103.13openalex-snapshot
Quantifying Cyber Risk Exposure and Risk-Based Pricing of Cyber Insurance: A Thematic Review of Actuarial, Statistical and Machine-Learning Approaches
inferred← citeshttps://doi.org/10.1177/15485129251315178openalex-snapshot
Multi-agent influence diagrams to hybrid threat modeling
inferred← citeshttps://doi.org/10.1201/9781003323020-259openalex-snapshot
Estimation of bridge component condition states with varying data availability
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4257808/v1openalex-snapshot
A Bayesian Network Approach to Hybrid Threat Modelling
inferred← citeshttps://doi.org/10.2139/ssrn.6299899openalex-snapshot
Quantifying agroecological resilience of landscapes: a participatory Bayesian Network approach in Saxony-Anhalt (Germany)
inferred← citeshttps://doi.org/10.3390/agriculture14030458openalex-snapshot
A Decision Support System for Sustainable Agriculture and Food Loss Reduction under Uncertain Agricultural Policy Frameworks
inferred← citeshttps://doi.org/10.3390/cancers17020301openalex-snapshot
Expert Judgment Supporting a Bayesian Network to Model the Survival of Pancreatic Cancer Patients
inferred← citeshttps://doi.org/10.3390/e27060579openalex-snapshot
Approaches for Reducing Expert Burden in Bayesian Network Parameterization
inferred← citeshttps://doi.org/10.3390/en15155622openalex-snapshot
Analysis on Causative Factors and Evolution Paths of Blast Furnace Gas Leak Accident
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.