Cats bring success – they are ket part of the internet traffic and enjoyment.
So let me show a great pic:
The real purpose of the cats-pics (delivered by a dog person) is the great video and article from Cassie Kozyrkov
What is the difference between Bayesian and Frequentist statistics?
(demonstrated with one single coin toss)
| Frequentist | Bayesian |
| “There’s no probability about it. I may not know the answer, but that doesn’t change the fact that if the coin is heads up, the probability is 100%, and if the coin is tails up, the probability is 0%.” | “For me, the probability is 50%! For you, it’s whatever it is for you.” |
| it makes sense to talk about your method’s quality and “getting the answer right” | intuitive definitions, e.g. credible intervals are what you wish confidence intervals were (but aren’t!) |
| The parameter is not a random variable. | The parameter is a random variable. |
| the core concepts are harder to wrap your head around (e.g. p-values and confidence intervals have counter-intuitive, wordy definitions) and lazy thinkers make a hash out of them frequent-ly. | you lose the ability to talk about any notion of “right answers” and “method quality” — there’s no such thing as statistically significant or rejecting the null. There’s only “more likely” and “less likely” …from your perspective. |
Surtil : 