What Is the Probability of a Conjunction of N Non-Independent Hypotheses?

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The discussion focuses on calculating the probability of a conjunction of non-independent hypotheses using the product rule. The initial formula presented is p(h1 and h2 and ... and hn) = p(h1) * p(h2|h1) * p(h3|h1 and h2) and so forth. Participants confirm that this approach is correct, demonstrating the proof through a breakdown of the probabilities. The proof illustrates how to express the conjunction in terms of conditional probabilities. Overall, the method for calculating the probability of non-independent hypotheses is validated through logical reasoning.
Aldebaran2
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Ciao all,

I have a conjunction of n non-independant hypothesis:

h1 and h2 and ... and hn.

I want to calculate the probability of such conjunction. To do so, I used the product rule p(h1 and h2) =p(h1).p(h2|h1)

p(h1 and h2 and ... and hn) = p(h1).p(h2|h1).p(h3|h1 and h2 )...

Do you think that this is correct?


Aldebaran
 
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I think it is.
 
Proof

Yes the proof was pretty simple:

p(a1 and a2 and... and an)
= p(an | a1 and a2 and... and an-1). p(a1 and a2 and... and an-1).
= p(an | a1 and a2 and... and an-1). p(an-1 | a1 and a2 and... and an-2).p(a1 and a2 and... and an-2).

:smile:
 
I was reading a Bachelor thesis on Peano Arithmetic (PA). PA has the following axioms (not including the induction schema): $$\begin{align} & (A1) ~~~~ \forall x \neg (x + 1 = 0) \nonumber \\ & (A2) ~~~~ \forall xy (x + 1 =y + 1 \to x = y) \nonumber \\ & (A3) ~~~~ \forall x (x + 0 = x) \nonumber \\ & (A4) ~~~~ \forall xy (x + (y +1) = (x + y ) + 1) \nonumber \\ & (A5) ~~~~ \forall x (x \cdot 0 = 0) \nonumber \\ & (A6) ~~~~ \forall xy (x \cdot (y + 1) = (x \cdot y) + x) \nonumber...
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