I've been hearing about bayesian thinking from last 6 months and was watching multiple videos about it. I never understood priors, likelihood and posterior from rea life perspective but youtube recommended this hidden gem to me. I'm glad I came across your channel :)
Wow, i never understood how bayesian thinking revolved around updating a prior belief. it was always so obscure to me, trying to reason around three distributions (prior, likelihood, posterior) But your one sentence "prior beliefs get updated w/ new data" really puts it into perspective. I had no idea the posterior was the updated prior. Thank you for such a great video!
I love your explanations! Thank you for sharing your knowledge and experience! It's precious and really helpful for those (like me) who are at the beginning of this fascinating journey
This is the easiest, thus the best introduction to Bayesian Stat, I ever came cross. It transfer to knowledge from Frequentist Probability to Conditional Probability, then to Bayesian Probability in a concise manner. Thanks for it and the others...