18:40 probability is not defined correct mathematically. Every observation of x can be seen as a Bernoulli trial, that is the outcome of each x is either 0 (failure) or 1 (success) with a probability of success being p(x). Therefore it should be n->infinity and not x-> infinity. In my own words: the probability of x is number of successes (number of 1s) divided by total number of observations when total number of observations go to infinity. That will make much more sense (and is correct) for you who haven't learned about probabilities before.
I also want to add to new players that don't give Bayes theorem too much time unless you are interested. As Chris says; all of you know how to use it, but don't know you are using it. If you anyway wanto to learn more I can suggest learning to understand the Monty Hall problem (google is your friend), it will make you understand the whole concept.
Dec. 10, 2015 | 8:51 p.m.
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18:40 probability is not defined correct mathematically. Every observation of x can be seen as a Bernoulli trial, that is the outcome of each x is either 0 (failure) or 1 (success) with a probability of success being p(x). Therefore it should be n->infinity and not x-> infinity. In my own words: the probability of x is number of successes (number of 1s) divided by total number of observations when total number of observations go to infinity. That will make much more sense (and is correct) for you who haven't learned about probabilities before.
I also want to add to new players that don't give Bayes theorem too much time unless you are interested. As Chris says; all of you know how to use it, but don't know you are using it. If you anyway wanto to learn more I can suggest learning to understand the Monty Hall problem (google is your friend), it will make you understand the whole concept.
Dec. 10, 2015 | 8:51 p.m.