20 - Beta conjugate prior to Binomial and Bernoulli likelihoods
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- Опубліковано 11 сер 2014
- This video sketches a short proof of the fact that a Beta distribution is conjugate to both Binomial and Bernoulli likelihoods.
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Today is Apr 12, 2019. I am following this playlist for about 5 hours so far. Thank you for bounding the knowledge and ordering the concepts. Your explanation is filling a lot of gaps.
THANK YOU SO MUCH FOR AD-FREE AND EXCELLENT LECTURES!
Sir, this is exactly the explanation I was looking for. Thank you very much.
Super clear in 5 minutes. Thank you!
Very well explained. Thanks for posting!
Thanks! The concepts and the derivation were clearly explained.
Can u please share a link where u explained posterior of binomial with prior poison ..please sir i need it desperartely
Thanks a lot
Excellent lecture :) Thank you very much :)
brilliant
简洁明了 赞👍
Please, How can solve the following equation
Gamma(x)= 1+2x^2
Thank you
Use Gamma(x+1) = x*Gamma(x)
You will get a cubic equation.
Substitute the three values so obtained in the primary equation, one of them will be the answer!
For pythonistas, see python implementation of various conjugate priors : github.com/urigoren/conjugate_prior
i think it needs a proof to before saying the denominator is B(a', b')
Yes. Do you know how to prove it? Or could you share a proof from other guy?