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How Bayes’ Rule Emerged Triumphant from Two Centuries of Controversy

mcgrayne.com

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Re: How Bayes’ Rule Emerged Triumphant from Two Centuries of Controversy

#81
post #71
post #68

Earlier quoted context omitted.

"whether it is possible to always get heads, an infinite number of times" No if we actually make the experiment, for we cannot toss coin infinitely many times. Yes, if we are just considering and measuring all possible infinite sequences. Measure of such mathematically possible sequence is zero, like measure of a point somewhere in a circle is zero. The point exists and is a possible result of choosing a point, but i…

If an infinite sequence of all heads is a possible outcome, then it is not true that the relative frequency converges to 0.5 in the limit. It is obviously true for many infinite sequences but if all heads is a possibility then it is not true in general. Just to clarify, I am talking about the frequentist's claim that in the long run the relative frequency becomes the probability, i.e. P(x) = lim[n -> ∞] nx / n where…

Does the frequentist view really claim that infinite sequence nx/n always converges, for all possible runs? That is obviously false. The laws of large numbers only state that probability that the limit of nx/n is equal to 1/2 is 1. This is because all sequences are equally probable and there are overwhelmingly many more sequences that limit to 1/2 than sequences that do not. That is different from saying that the limit is always equal to 1/2, because there are these exceptional cases of low measure like HHHHH..., HTTHTTHTT...

Re: How Bayes’ Rule Emerged Triumphant from Two Centuries of Controversy

#82

I could never quite understand the divide between Bayesian statistics and frequentist statistics. Both seem to be ultimately about counting the frequency by which something occurs and normalizing this frequency with respect to the number of all possible outcomes. Bayesian statistics essentially is concerned with the application of the Bayesian updating technique by which one can iteratively improve a distribution ove…

Sorry, it took a while, but I wrote two Arbital nodes for you:

- https://arbital.com/p/subjective_probability/

- https://arbital.com/p/likelihood_vs_pvalue/

Re: How Bayes’ Rule Emerged Triumphant from Two Centuries of Controversy

#83
post #82

I could never quite understand the divide between Bayesian statistics and frequentist statistics. Both seem to be ultimately about counting the frequency by which something occurs and normalizing this frequency with respect to the number of all possible outcomes. Bayesian statistics essentially is concerned with the application of the Bayesian updating technique by which one can iteratively improve a distribution ove…

Sorry, it took a while, but I wrote two Arbital nodes for you: - https://arbital.com/p/subjective_probability/ - https://arbital.com/p/likelihood_vs_pvalue/

This is great! Thanks.
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