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The principles of Bayesian probability and Bayesian belief networks, and their applicability for judicial reasoning are briefly explained. As an example, a Bayesian belief network model has been constructed that compares the probabilities of two hypothesised causes of a single-car accident. It is concluded that Bayesian belief networks can be a suitable(More)
It is still debated to what extent the vestibular deficits in Usher patients are due to either central vestibulocerebellar or peripheral vestibular problems. Here, we determined the origin of the vestibular symptoms in Usher 1B patients by subjecting them to compensatory eye movement tests and by investigating the shaker-1 mouse model, which is known to(More)
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