definition of probability (week 2) Flashcards
Probabilities as a function with some properties?
Axiom 1. P is a function of A : A c S to [0,1]
Axiom 2. P(∅) = 0 , P(S) = 1
Axiom 3. If A1, A2, … are disjoint events
P U limit infinity start i = 1 = sigma limit infinity start i P(Ai)
Classical vs Bayesian
Classical : long-run frequency of that event occurring if the experiment is run many many times. want to get the best estimate of the true long-run probability
Bayesian: event is the subjective belief about the chance of that event occurring. want to update their belief about the probability of A in a scientific way by incorporating the infromation in the observed data
Conditional probabilites
P(A|B) = P(AnB)/P(B)
Bayes rule P(A|B) ?
[P(B|A)P(A)]/P(B)
Law of Total Probability
P(B) = P(BnA) + P(BnA^c) = P(B|A) P(A) + P(B|A^c)P(A^c)
Independent if P(A|B) ?
equals to P(A)
if independent, P(AnB) ?
P(A) x P(B)
What if prob A given B and C?
P(AnBnC) / P(BnC)