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Issues in the Probability Elicitation Process of Expert-Based Bayesian Networks

https://doi.org/10.5772/intechopen.81602

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What this work says

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

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Encyclopedia of Statistics in Quality and Reliability

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A Tutorial on Learning with Bayesian Networks

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Judgment under Uncertainty: Heuristics and Biases

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A Tutorial on Learning with Bayesian Networks

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Towards improving decision making and estimating the value of decisions in value-based software engineering: the VALUE framework

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Availability: A heuristic for judging frequency and probability

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Software maintenance project delays prediction using Bayesian Networks

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Large engineering project risk management using a Bayesian belief network

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Assessing new product development project risk by Bayesian network with a systematic probability generation methodology

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A procedure to detect problems of processes in software development projects using Bayesian networks

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Predicting software defects in varying development lifecycles using Bayesian nets

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A Bayesian networks-based approach to assess and improve the teamwork quality of agile teams

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Towards smart-data: Improving predictive accuracy in long-term football team performance

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Talking probabilities: communicating probabilistic information with words and numbers

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Probabilities for a probabilistic network: a case study in oesophageal cancer

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The simulation heuristic

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Probability elicitation for belief networks: issues to consider

inferredcites →https://doi.org/10.1023/a:1007465528199openalex-snapshot

Bayesian Network Classifiers

inferredcites →https://doi.org/10.1109/69.868903openalex-snapshot

Dealing with the expert inconsistency in probability elicitation

inferredcites →https://doi.org/10.1109/icinfa.2010.5512447openalex-snapshot

Assessing the weighted sum algorithm for automatic generation of Probabilities in Bayesian Networks

inferredcites →https://doi.org/10.1109/icse.2004.1317462openalex-snapshot

Making resource decisions for software projects

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2009 International Joint Conference on Artificial Intelligence

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Using Ranked Nodes to Model Qualitative Judgments in Bayesian Networks

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Improving Construction of Conditional Probability Tables for Ranked Nodes in Bayesian Networks

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Using Bayesian Networks to Model Expected and Unexpected Operational Losses

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Judgment under Uncertainty: Heuristics and Biases

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How to Make a Decision: The Analytic Hierarchy Process

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An Algorithm to Define the Node Probability Functions of Bayesian Networks based on Ranked Nodes

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Subjective Probability Elicitation Techniques: A Performance Comparison

inferredcites →https://doi.org/10.48550/arxiv.1301.6745openalex-snapshot

How to Elicit Many Probabilities

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Generating Conditional Probabilities for Bayesian Networks: Easing the Knowledge Acquisition Problem

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The Handbook of brain theory and neural networks

What points at this work

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

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Maximum Entropy-Based Quantification for Probability Elicitation in Bayesian Networks

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A Bayesian Belief Network Model for the Risk Assessment and Management of Premature Screen-Out during Hydraulic Fracturing

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

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Prior Knowledge Elicitation: The Past, Present, and Future

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Risk-based prioritization of operational condition assessments : stakeholder analysis and literature review

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A Bayesian Network Decision Support Tool for Low Back Pain Using a RAND Appropriateness Procedure: Proposal and Internal Pilot Study

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Entropy-Based Metrics for URREF Criteria to Assess Uncertainty in Bayesian Networks for Cyber Threat Detection

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Economic Evaluation of Mental Health Effects of Flooding Using Bayesian Networks

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Construction d’un système d’aide à la décision statistico-cognitive pour le pilotage des processus d’entreprise

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