55 citations · 134 across the 16 of their papers we have counts for
6 papers · 1 filter
Bayesian hypothesis testing and hierarchical modelling of ivermectin effectiveness in treating Covid-19
Martin Neil, Norman Fenton
Ivermectin is an antiparasitic drug that some have claimed is an effective treatment for reducing Covid-19 deaths. To test this claim, two recent peer reviewed papers both conducte…
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety
Scott McLachlan, Martin Neil, Kudakwashe Dube +3
Driving is an intuitive task that requires skills, constant alertness and vigilance for unexpected events. The driving task also requires long concentration spans focusing on the e…
Calculating the Likelihood Ratio for Multiple Pieces of Evidence
Norman Fenton, Martin Neil
When presenting forensic evidence, such as a DNA match, experts often use the Likelihood ratio (LR) to explain the impact of evidence . The LR measures the probative value of the e…
A Bayesian-network-based cybersecurity adversarial risk analysis framework with numerical examples
Jiali Wang, Martin Neil
Cybersecurity risk analysis plays an essential role in supporting organizations make effective decision about how to manage and control cybersecurity risk. Cybersecurity risk is a…
Positive results from UK single gene testing for SARS-COV-2 may be inconclusive, negative or detecting past infections
Martin Neil
The UK Office for National Statistics (ONS) publish a regular infection survey that reports data on positive RT-PCR test results for SARS-COV-2 virus. This survey reports that a la…
How do some Bayesian Network machine learned graphs compare to causal knowledge?
Anthony C. Constantinou, Norman Fenton, Martin Neil
The graph of a Bayesian Network (BN) can be machine learned, determined by causal knowledge, or a combination of both. In disciplines like bioinformatics, applying BN structure lea…