best of bayes theorem
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You don't need a book for Bayes' theorem. It tells you how to find one conditional probability in terms of the inverse conditional probability. Here it is.
Let E and F be events. Then
P(E|F)=P(F|E)P(E)P(F)P(E|F)=P(F|E)P(E)P(F)
Here's a proof of it. By definition,
P(E|F)=P(E∩F)P(F).P(E|F)=P(E∩F)P(F).
But P(E∩F)=P(F|E)P(E)P(E∩F)=P(F|E)P(E) since P(F|E)=P(E∩F)P(E).P(F|E)=P(E∩F)P(E). Q.E.D.
You'll find Bayes' theorem in any book about probability soon after where conditional probability is introduced.
Let E and F be events. Then
P(E|F)=P(F|E)P(E)P(F)P(E|F)=P(F|E)P(E)P(F)
Here's a proof of it. By definition,
P(E|F)=P(E∩F)P(F).P(E|F)=P(E∩F)P(F).
But P(E∩F)=P(F|E)P(E)P(E∩F)=P(F|E)P(E) since P(F|E)=P(E∩F)P(E).P(F|E)=P(E∩F)P(E). Q.E.D.
You'll find Bayes' theorem in any book about probability soon after where conditional probability is introduced.
raminder1:
form where u copied all this
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