Conditional probability by joint distribution
Clash Royale CLAN TAG#URR8PPP
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I have read the following equation:
$$P(E_1|H)*P(E_2|H)*P(H) = P(E_1,E_2,H) $$
I don't understand why this equation is true. I know that
$$P(E_1|H)*P(H) = P(E_1,H)$$
thus:
$$P(E_1|H)*P(E_2|H)*P(H)=P(E_1,H)*P(E_2|H)$$
but why:
$$P(E_1|H)*P(E_2|H)*P(H) = P(E_1,E_2,H) $$
As a extra information it is also given that:
$$P(E_1|H,E_2) = P(E_1|H)$$
probability stochastic-calculus
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up vote
-1
down vote
favorite
I have read the following equation:
$$P(E_1|H)*P(E_2|H)*P(H) = P(E_1,E_2,H) $$
I don't understand why this equation is true. I know that
$$P(E_1|H)*P(H) = P(E_1,H)$$
thus:
$$P(E_1|H)*P(E_2|H)*P(H)=P(E_1,H)*P(E_2|H)$$
but why:
$$P(E_1|H)*P(E_2|H)*P(H) = P(E_1,E_2,H) $$
As a extra information it is also given that:
$$P(E_1|H,E_2) = P(E_1|H)$$
probability stochastic-calculus
How/When did you use the "extra information"?
â Did
Jul 25 at 17:57
((This is not a question of stochastic-calculus at all.))
â Did
Jul 25 at 17:58
add a comment |Â
up vote
-1
down vote
favorite
up vote
-1
down vote
favorite
I have read the following equation:
$$P(E_1|H)*P(E_2|H)*P(H) = P(E_1,E_2,H) $$
I don't understand why this equation is true. I know that
$$P(E_1|H)*P(H) = P(E_1,H)$$
thus:
$$P(E_1|H)*P(E_2|H)*P(H)=P(E_1,H)*P(E_2|H)$$
but why:
$$P(E_1|H)*P(E_2|H)*P(H) = P(E_1,E_2,H) $$
As a extra information it is also given that:
$$P(E_1|H,E_2) = P(E_1|H)$$
probability stochastic-calculus
I have read the following equation:
$$P(E_1|H)*P(E_2|H)*P(H) = P(E_1,E_2,H) $$
I don't understand why this equation is true. I know that
$$P(E_1|H)*P(H) = P(E_1,H)$$
thus:
$$P(E_1|H)*P(E_2|H)*P(H)=P(E_1,H)*P(E_2|H)$$
but why:
$$P(E_1|H)*P(E_2|H)*P(H) = P(E_1,E_2,H) $$
As a extra information it is also given that:
$$P(E_1|H,E_2) = P(E_1|H)$$
probability stochastic-calculus
edited Jul 25 at 17:36
asked Jul 25 at 15:11
Mo Prog
1307
1307
How/When did you use the "extra information"?
â Did
Jul 25 at 17:57
((This is not a question of stochastic-calculus at all.))
â Did
Jul 25 at 17:58
add a comment |Â
How/When did you use the "extra information"?
â Did
Jul 25 at 17:57
((This is not a question of stochastic-calculus at all.))
â Did
Jul 25 at 17:58
How/When did you use the "extra information"?
â Did
Jul 25 at 17:57
How/When did you use the "extra information"?
â Did
Jul 25 at 17:57
((This is not a question of stochastic-calculus at all.))
â Did
Jul 25 at 17:58
((This is not a question of stochastic-calculus at all.))
â Did
Jul 25 at 17:58
add a comment |Â
1 Answer
1
active
oldest
votes
up vote
2
down vote
accepted
We are given that $$P(E_1|H,E_2)=P(E_1|H)$$
hence,
$$fracP(E_1,H,E_2)P(H,E_2)=P(E_1|H)$$
$$P(E_1,H,E_2)=P(E_1|H)P(H,E_2)$$
but we have $P(H,E_2)=P(H)P(E_2|H)$, hence the result.
add a comment |Â
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
up vote
2
down vote
accepted
We are given that $$P(E_1|H,E_2)=P(E_1|H)$$
hence,
$$fracP(E_1,H,E_2)P(H,E_2)=P(E_1|H)$$
$$P(E_1,H,E_2)=P(E_1|H)P(H,E_2)$$
but we have $P(H,E_2)=P(H)P(E_2|H)$, hence the result.
add a comment |Â
up vote
2
down vote
accepted
We are given that $$P(E_1|H,E_2)=P(E_1|H)$$
hence,
$$fracP(E_1,H,E_2)P(H,E_2)=P(E_1|H)$$
$$P(E_1,H,E_2)=P(E_1|H)P(H,E_2)$$
but we have $P(H,E_2)=P(H)P(E_2|H)$, hence the result.
add a comment |Â
up vote
2
down vote
accepted
up vote
2
down vote
accepted
We are given that $$P(E_1|H,E_2)=P(E_1|H)$$
hence,
$$fracP(E_1,H,E_2)P(H,E_2)=P(E_1|H)$$
$$P(E_1,H,E_2)=P(E_1|H)P(H,E_2)$$
but we have $P(H,E_2)=P(H)P(E_2|H)$, hence the result.
We are given that $$P(E_1|H,E_2)=P(E_1|H)$$
hence,
$$fracP(E_1,H,E_2)P(H,E_2)=P(E_1|H)$$
$$P(E_1,H,E_2)=P(E_1|H)P(H,E_2)$$
but we have $P(H,E_2)=P(H)P(E_2|H)$, hence the result.
answered Jul 25 at 15:15
Siong Thye Goh
77.3k134794
77.3k134794
add a comment |Â
add a comment |Â
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How/When did you use the "extra information"?
â Did
Jul 25 at 17:57
((This is not a question of stochastic-calculus at all.))
â Did
Jul 25 at 17:58