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Found 11 papers, 0 papers with code
Stacking Factorizing Partitioned Expressions in Hybrid Bayesian Network Models
Normally, an effective way to reduce the CPD size is to use a binary factorization (BF) algorithm to decompose the statistical or arithmetic functions in the CPD by factorizing the number of connected parent nodes to sets of size two.
A hybrid Bayesian network for medical device risk assessment and management
Hence, medical device manufacturers are free to develop or use any appropriate methods for managing the risk of medical devices.
Product safety idioms: a method for building causal Bayesian networks for product safety and risk assessment
Idioms are small, reusable Bayesian network (BN) fragments that represent generic types of uncertain reasoning.
Smart Automotive Technology Adherence to the Law: (De)Constructing Road Rules for Autonomous System Development, Verification and Safety
We strongly believe these tools to be approachable by programmers and the general public, and capable of use in developing Artificial Intelligence to underpin motor vehicle smart systems, and in validation to ensure these systems are considerate of the law when making decisions.
Bayesian hypothesis testing and hierarchical modelling of ivermectin effectiveness in treating Covid-19
We show that there is strong evidence to support a causal link between ivermectin, Covid-19 severity and mortality, and: i) for severe Covid-19 there is a 90. 7% probability the risk ratio favours ivermectin; ii) for mild/moderate Covid-19 there is an 84. 1% probability the risk ratio favours ivermectin.
How do some Bayesian Network machine learned graphs compare to causal knowledge?
Maximising score fitting is ineffective in the presence of limited sample size because the fitting becomes increasingly distorted with limited data, guiding algorithms towards graphical patterns that share higher fitting scores and yet deviate considerably from the true graph.
Product risk assessment: a Bayesian network approach
Product risk assessment is the overall process of determining whether a product, which could be anything from a type of washing machine to a type of teddy bear, is judged safe for consumers to use.
The role of collider bias in understanding statistics on racially biased policing
Contradictory conclusions have been made about whether unarmed blacks are more likely to be shot by police than unarmed whites using the same data.
Medical idioms for clinical Bayesian network development
We refer to the proposed medical reasoning patterns as medical idioms.
Simpson's Paradox and the implications for medical trials
This paper describes Simpson's paradox, and explains its serious implications for randomised control trials.
Region Based Approximation for High Dimensional Bayesian Network Models
Performing efficient inference on Bayesian Networks (BNs), with large numbers of densely connected variables is challenging.
