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[-] Mastema@infosec.pub 7 points 5 months ago

This isn't a meme I can enjoy frequently....

[-] verstra@programming.dev 5 points 5 months ago

Ok, this is Bayesian probably update. Is is said that posterior and the model crack the prior?

What am i missing?

[-] GreatTitEnthusiast@mander.xyz 1 points 5 months ago

I know it's referencing this but don't know enough about Bayesian probability

https://knowyourmeme.com/memes/cracking-open-a-cold-one-with-the-boys

[-] Aarrodri@lemmy.world 3 points 5 months ago

Can someone explain for the non-statisticians?

[-] NorthWestWind@lemmy.world 2 points 5 months ago

P(A|B) means the conditional probability of event A happening if B has happened. It is defined as P(A∩B)/P(B).

The equation show is the Bayes' Rule. It shows the relationship between P(A|B) and P(B|A). This is useful in Bayesian statistics (of course why would it not be) as you change your probability distribution based on the data observed, and almost every time it's easier to find the value by swapping the events.

this post was submitted on 05 Jun 2024
71 points (96.1% liked)

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