Bayesian or Frequentist, Which Are You? By Michael I. Jordan (Part 1 of 2)

[@matt-stam]

Thanks, I'm sure quite a few people from Lex's podcast will be wanting to check this out :)

[@chensong250]

+1 from Lex's podcast!

[@krakenmetzger]

This guy is so much better than LeBron why is there even a debate

[@khoavo5758]

At basketball, maybe. But I believe LeBron is still a better statistician.

[@peterhall6656]

I swing both ways. I've found it works.

[@mereel77]

Lex sent me here. Thanks for posting! The main Google hit for this video directs to a website so old that it expects the user to be on Windows 95. Video refuses to play on my machine.

[@newredroses]

You are very welcome! I figured many others would benefit from it being on youtube.

[@charudattamanwatkar8340]

Slides: mlg.eng.cam.ac.uk/mlss09/mlss_slides/Jordan_1.pdf

[@Flylikea]

I was hoping to find a few "I'm just confused" but nah😅 everyone is solid in their outlook😂

[@amezquita98]

where are the slides??

[@grahamhenry9368]

I don’t understand the dilemma. Bayes theorem is a theorem that is trivially proved. There’s absolutely no question as to whether it’s correct or not. Is the question about the accuracy of the chosen prior? If you have enough samples the prior doesn’t matter because you’ll converge on the truth either way. If you don’t have enough data for a frequentist convergence then isn’t the prior the best you can do?

[@aazimlakhani8250]

Thank you for posting your Q. I'd like to answer your Q. Before that, i need to clarify, "What is the dilemma ?"

[@lachlanchristie9342]

Who here in 2025

[@alexdamman6805]

Currently April 2024. Captivating talk. Very real world.