Bayesian statistics - the basics

[@randyluong6275]

This channel and its owner are treasures.

[@abdurrehman933]

Amazing Explanation

[@dawitabathun9402]

You are always the master mind, thanks a lot.

[@aneksis1303]

I was always wondering how Bayesian statistics works in an easy explanation. Your video is very helpful! Thank you a lot!

[@surendrabarsode8959]

Very well explained. Anyone can easily very well understand these concepts. Thanks!!!

[@meshackamimo1945]

much appreciations for a beautiful rendering of introductory lessons on Bayesian Stats

[@abdurrehman933]

Could you please provide the detailed code for this example to help me understand the visualization more clearly?"

[@asosalih257]

Dear Sir, could you tell me a reference book that could help me for more information. I am grateful for this wonderful video you made. Thank you sir

[@গোলামমোস্তফা-শ৮থ]

Here , 'Binom(6,8,p)' is this a likelihood or conditional distribution of x given parameter? [ f(x | p) ] I think both are same 🙂 or I don't know.

[@tilestats]

It is the likelihood. When you are trying to estimate the parameter p based on observed data (6 successes out of 8 trials), you are using it as a likelihood function. You may watch this video to get a better understanding: kzbin.info/www/bejne/hoPTnnRsjNiMbMk

[@SK-rj1ti]

Thank you for the video! I remember reading a short paper a few years back that the regular P value is equivalent to the probability that H1 is more likely than H0 with an unspecified (uniform?) prior. Please correct me if I am mis-stating this... Long story short, I can't find that paper anymore. Could you or anyone else please help me find that paper again? Thank you!

[@SK-rj1ti]

Sorry, I meant to say that H0 is more likely than H1, of course.

[@tilestats]

I have not seen that paper, but if you like to learn more about p-values, I have a video on that: kzbin.info/www/bejne/l4rUeqZqjb-fn5o