> so then why does it matter? I recommend reading this[1] essay which explains exactly the difference between the two methods. (I'm linking to part 3 because i

> so then why does it matter? I recommend reading this[1] essay which explains exactly the difference between the two methods. (I'm linking to part 3 because it specifically answers your questions, but the entire series is worth reading) Why does it matter? Frequentist and Bayesian methods offer different interpretations of what your result means. ... speaking broadly, frequentists consider model parameters to be fixed and data to be random, while Bayesians consider model parameters to be random and data to be fixed. This distinction is important, because... > the frequentist and Bayesian methods are the same ...this isn't always true. See [1] for the details. [1] http://jakevdp.github.io/blog/2014/06/12/frequentism-and-bayesianism-3-confidence-credibility/ http://jakevdp.github.io/blog/2014/06/12/frequentism-and-bay...