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Compatible and incompatible abstractions in Bayesian networks

Yet, B; Marsh, DWR (2014-05)

Ranked nodes: A simple and effective way to model qualitative judgements in large-scale Bayesian Networks

Fenton, Norman; Neil, Martin (2013-12-30)

Integrating expert knowledge with data in Bayesian networks: Preserving data-driven expectations when the expert variables remain unobserved

Constantinou, AC; Fenton, N; Neil, M (2016-09-01)

A Bayesian network framework for project cost, benefit and risk analysis with an agricultural development case study

Yet, B; Constantinou, A; Fenton, N; Neil, M; Luedeling, E; Shepherd, K (2016-10-30)

Value of information analysis for interventional and counterfactual Bayesian networks in forensic medical sciences

Constantinou, AC; Yet, B; Fenton, N; Neil, M; Marsh, W (2016-01)

When 'neutral' evidence still has probative value (with implications from the Barry George Case)

Fenton, N; Berger, D; Lagnado, D; Neil, M; Hsu, A (2014-07)

Clinical evidence framework for Bayesian networks

Yet, B; Perkins, ZB; Tai, NRM; Marsh, DWR (2017-01)

From complex questionnaire and interviewing data to intelligent Bayesian network models for medical decision support

Constantinou, AC; Fenton, N; Marsh, W; Radlinski, L (2016-02)

Bayes and the Law

Fenton, N; Neil, M; Berger, D (2016)

Expected Value of Partial Perfect Information in Hybrid Models Using Dynamic Discretization

Yet, B; Constantinou, A; Fenton, N; Neil, M (2018)

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