This course introduces basic principles of Bayesian reasoning with the goal of helping us leverage our common-sense understandings of inference and hone our intuition when conducting causal analysis ...

This course introduces basic principles of Bayesian reasoning with the goal of helping us leverage our common-sense understandings of inference and hone our intuition when conducting causal analysis ...

Bayesian reasoning is a statistical method that helps individuals make inferences and decisions based on probabilities. It is particularly useful in situations where uncertainty is present ...

Bayesian networks (BNs) are causal probabilistic models that combine data and expert ... The research has led to a demand for our services as expert witnesses in major criminal and civil cases ...

Bayesian networks have emerged as a powerful tool in the realm of legal evidence and reasoning, providing a structured way to model uncertainty and infer conclusions based on available evidence.

More information: Nicole Steib et al, How to teach Bayesian reasoning: An empirical study comparing four different ...