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Bayesian inference is a method of statistical inference that relies on treating the model parameters as random variables and applying Bayes' theorem to deduce subjective probability statements about the parameters or hypotheses, conditional on the observed dataset.
2
votes
Accepted
Why does the order of events A and B not matter with conditional probability? p(A | B) x p(B...
I think you are asking a pretty good question despite seeming innocent at first. My answer would be that, from a matehmatical point of view, "B given A" or "B/A" does not necesarelly mean that A happe …
4
votes
Accepted
How to calculate the probability of getting 2 heads wen the coins is biased?
I am a hardcore frequentist but we gotta know the enemy, so let's give it a try.
Let $A$ be the event "we are using the 0.7 coin"
Let $B$ be the event "we got two heads in a row"
According to the …