I'm trying to learn how to use Bayes theorem to explain probabilities in court cases related to dementia and testamentary capacity.
Let's say that we are trying to explain the probability for a person who has dementia to have testamentary capacity, how would one build a Bayes model for this purpose?
I'm thinking something like this:
H = Person does not have testamentary capacity? //Question: Should this be a random healthy person or a person with Dementia?
J = Persons with Dementia?
A = Person does have testamentary capacity?
P(H|J) = P(J|H) P(H) / ( P(J|H)P(H) + P(J|A)P(A) )
P(Person does not have testamentary capacity|Dementia) =
P(Dementia|Person does not have testamentary capacity) * P(Random Person does not have testamentary capacity) /
( P(Dementia|Person does not have testamentary capacity) * P(Random Person does not have testamentary capacity) + P(Dementia|Person does have testamentary capacity)*P(Random Person does have testamentary capacity)
Am I doing it right or wrong?
Thanks for helping out!