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COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing

Journal of risk research, 2020-08, Vol.23 (7-8), p.862-865

2020

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A causal Bayesian network approach for consumer product safety and risk assessment

Journal of safety research, 2022-02, Vol.80, p.198-214

2022

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Categorical Updating in a Bayesian Propensity Problem

Cognitive science, 2023-07, Vol.47 (7), p.e13313-n/a

2023

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The future of the London Buy-To-Let property market: Simulation with temporal Bayesian Networks

PloS one, 2017-06, Vol.12 (6), p.e0179297-e0179297

2017

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Explaining Away, Augmentation, and the Assumption of Independence

Frontiers in psychology, 2020-11, Vol.11, p.502751-502751

2020

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Propensities and Second Order Uncertainty: A Modified Taxi Cab Problem

Frontiers in psychology, 2020-10, Vol.11, p.503233-503233

2020

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Statistical Issues in Serial Killer Nurse Cases

Laws, 2022-10, Vol.11 (5), p.65

2022

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Using Bayesian Networks to Model Expected and Unexpected Operational Losses

Risk analysis, 2005-08, Vol.25 (4), p.963-972

2005

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Risk aggregation in the presence of discrete causally connected random variables

Annals of actuarial science, 2014-09, Vol.8 (2), p.298-319

2014

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Using Bayesian networks to guide the assessment of new evidence in an appeal case

Crime science, 2016-05, Vol.5 (1), p.9-9, Article 9

2016

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A General Structure for Legal Arguments About Evidence Using Bayesian Networks

Cognitive science, 2013-01, Vol.37 (1), p.61-102

2013

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The Zero-Sum Fallacy in Evidence Evaluation

Psychological science, 2019-02, Vol.30 (2), p.250-260

2019

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Learning from Behavioural Changes That Fail

Trends in cognitive sciences, 2020-12, Vol.24 (12), p.969-980

2020

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Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported

Journal of risk research, 2020-08, Vol.23 (7-8), p.866-879

2020

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Whom Do We Trust on Social Policy Interventions?

Basic and applied social psychology, 2018-09, Vol.40 (5), p.249-268

2018

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Analyzing the Simonshaven Case Using Bayesian Networks

Topics in cognitive science, 2020-10, Vol.12 (4), p.1092-1114

2020

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Dependencies in evidential reports: The case for informational advantages

Cognition, 2020-11, Vol.204, p.104343-104343, Article 104343

2020

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Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessment

Journal of risk research, 2021-05, Vol.24 (5), p.617-621

2021

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Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process

Artificial intelligence and law, 2023-03, Vol.31 (1), p.169-194

2023

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Modelling competing legal arguments using Bayesian model comparison and averaging

Artificial intelligence and law, 2019-12, Vol.27 (4), p.403-430

2019

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Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries

Journal of quantitative analysis in sports, 2013-03, Vol.9 (1), p.37-50

2013

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Solving the Problem of Inadequate Scoring Rules for Assessing Probabilistic Football Forecast Models

Journal of quantitative analysis in sports, 2012-03, Vol.8 (1)

2012

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Calculating and understanding the value of any type of match evidence when there are potential testing errors

Artificial intelligence and law, 2014-03, Vol.22 (1), p.1-28

2014

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Bayesian networks for unbiased assessment of referee bias in Association Football

Psychology of sport and exercise, 2014-09, Vol.15 (5), p.538-547

2014

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The Process of Reception in the Adult Correctional System

The Annals of the American Academy of Political and Social Science, 1954-05, Vol.293 (1), p.51-58

Fenton, Norman

1954

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COVID-19 infection and death rates: the need to incorporate causal explanations for the data and avoid bias in testing

A causal Bayesian network approach for consumer product safety and risk assessment

Categorical Updating in a Bayesian Propensity Problem

The future of the London Buy-To-Let property market: Simulation with temporal Bayesian Networks

Explaining Away, Augmentation, and the Assumption of Independence

Propensities and Second Order Uncertainty: A Modified Taxi Cab Problem

Statistical Issues in Serial Killer Nurse Cases

Using Bayesian Networks to Model Expected and Unexpected Operational Losses

Risk aggregation in the presence of discrete causally connected random variables

Using Bayesian networks to guide the assessment of new evidence in an appeal case

A General Structure for Legal Arguments About Evidence Using Bayesian Networks

The Zero-Sum Fallacy in Evidence Evaluation

Learning from Behavioural Changes That Fail

Bayesian network analysis of Covid-19 data reveals higher infection prevalence rates and lower fatality rates than widely reported

Whom Do We Trust on Social Policy Interventions?

Analyzing the Simonshaven Case Using Bayesian Networks

Dependencies in evidential reports: The case for informational advantages

Causality, the critical but often ignored component guiding us through a world of uncertainties in risk assessment

Lawmaps: enabling legal AI development through visualisation of the implicit structure of legislation and lawyerly process

Modelling competing legal arguments using Bayesian model comparison and averaging

Determining the level of ability of football teams by dynamic ratings based on the relative discrepancies in scores between adversaries

Solving the Problem of Inadequate Scoring Rules for Assessing Probabilistic Football Forecast Models

Calculating and understanding the value of any type of match evidence when there are potential testing errors

Bayesian networks for unbiased assessment of referee bias in Association Football

The Process of Reception in the Adult Correctional System

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