Harvard statistics 110, video 5 note(conditioning II)
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8:25 2014-10-05
start Harvard statistics 110, video 5
conditioning continued
8:25 2014-10-05
probability is how to think about uncertainty & randomness
8:26 2014-10-05
thinking conditionally is the condition for thinking
8:27 2014-10-05
partition
8:34 2014-10-05
LOTP == Law Of Total Probability
8:37 2014-10-05
P(T|D), P(D|T)
D == Disease, T == Test
8:59 2014-10-05
confusing P(A|B) & P(B|A) is called
"prosecutor's fallacy"
9:11 2014-10-05
P(A) // prior: before we have evidence
P(A|B) // posterior: aftere we have evidence
9:20 2014-10-05
confusing independence & conditional independence
9:22 2014-10-05
Defn: Events A & B are conditionally independent given C
if P(AB|C) = P(A|C) * P(B|C)
9:24 2014-10-05
Does independence implies conditional independence? NO
start Harvard statistics 110, video 5
conditioning continued
8:25 2014-10-05
probability is how to think about uncertainty & randomness
8:26 2014-10-05
thinking conditionally is the condition for thinking
8:27 2014-10-05
partition
8:34 2014-10-05
LOTP == Law Of Total Probability
8:37 2014-10-05
P(T|D), P(D|T)
D == Disease, T == Test
8:59 2014-10-05
confusing P(A|B) & P(B|A) is called
"prosecutor's fallacy"
9:11 2014-10-05
P(A) // prior: before we have evidence
P(A|B) // posterior: aftere we have evidence
9:20 2014-10-05
confusing independence & conditional independence
9:22 2014-10-05
Defn: Events A & B are conditionally independent given C
if P(AB|C) = P(A|C) * P(B|C)
9:24 2014-10-05
Does independence implies conditional independence? NO
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